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  • English  (262)
  • Birmingham, UK : Packt Publishing  (172)
  • [Place of publication not identified] : Packt Publishing  (90)
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  • Artificial intelligence  (111)
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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835885925 , 1835885926
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Intelligence artificielle ; Programmation (Informatique) ; Interfaces de programmation d'applications ; Python (Langage de programmation) ; artificial intelligence ; computer programming ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment. What you will learn Configure OpenAI API and Python for AI development Create and manipulate LangChain prompt templates and parsers Implement LangChain memory models and chains for complex AI applications Develop real-world applications, including newsletter generators and chatbots Work with LangChain embeddings and vector stores for semantic searches Navigate the ethical and copyright implications of AI-generated content Audience This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. AI enthusiasts, tech innovators, and programmers will deepen their understanding of LangChain, unlocking new opportunities in AI-driven development and pioneering next-gen solutions. While specific knowledge of Python is not necessary, familiarity with programming concepts is essential. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835885628 , 1835885624
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Python (Computer program language) ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience with 'Master ChatGPT and OpenAI APIs By Building AI Tools in Python.' This immersive course takes you from the basics of ChatGPT and OpenAI's potent APIs through a journey of building dynamic AI-powered tools. Discover the magic behind ChatGPT's conversational prowess and dive deep into the neural networks and transformers that make it tick. You'll start by creating and managing your ChatGPT account, understanding the model's anatomy, and grasping the limitations and capabilities of AI language models. Transitioning from theory to hands-on practice, the course guides you through content creation, code generation, and the intricacies of prompt engineering. Moreover, you'll venture into the realms of generative AI with Midjourney, craft AI-driven applications, and harness the synergy of OpenAI and DALL-E for on-the-fly image generation. This course demystifies the AI concepts crucial in today's technology landscape, providing you with the skills to innovate and excel in the burgeoning field of AI. What you will learn Navigate the foundational elements of ChatGPT and OpenAI APIs Generate creative content and code with ChatGPT's language model Design and implement AI applications with user-friendly interfaces Master the art of prompt engineering for optimized AI interactions Build AI-powered tools and images using OpenAI and DALL-E Develop secure, intelligent applications with advanced Python techniques Audience This course welcomes everyone from entrepreneurs to artists and developers, aiming to learn about cutting-edge AI technologies and build AI-powered applications. Basic programming knowledge is preferred but not mandatory, making this course accessible to a wide range of learners. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835883907 , 1835883907
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence ; Apprentissage automatique ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This is an innovative course tailored for those who aspire to master the dynamic fields of computer vision and generative artificial intelligence. This course offers a deep dive into the world of image recognition, object detection, and the magic of generative AI using tools like KerasCV, Python, TensorFlow, PyTorch, and JAX. This course guides you from the fundamentals of image classification to the intricacies of object detection, starting with the KerasCV library for deep learning. You'll learn to effectively use and fine-tune pre-trained models, create custom datasets for object detection, using tools like the LabelImg GUI program, and apply these skills to tackle real-world challenges. A key focus is the generative AI segment, particularly on Stable Diffusion, where you'll learn to generate detailed images from text, unlocking your creative potential in this advanced AI domain. This course offers a progressive learning path from basic concepts to advanced techniques, catering to both professional development and creative pursuits in AI. By the end, you'll have the confidence and tools needed for a variety of applications in the ever-evolving field of generative artificial intelligence. What you will learn Harness the power of the KerasCV library for efficient deep learning Master image classification techniques using pre-trained models Implement object detection in real-world scenarios Fine-tune models for tailored applications and datasets Create custom object detection datasets with LabelImg Understand the integration of TensorFlow, PyTorch, and JAX in computer vision Audience This course is ideal for individuals ranging from beginners to advanced learners who possess a fundamental understanding of machine learning and Python programming. It is especially beneficial for those keen on delving into the realm of computer vision using KerasCV. About the Author Lazy Programmer: The Lazy Programmer, a distinguished online educator, boasts dual master's degrees in computer engineering and statistics, with a decade-long specialization in machine learning, pattern recognition, and deep learning, where he authored pioneering courses. His professional journey includes enhancing online advertising and digital media, notably increasing click-through rates and revenue. As a versatile full-stack software engineer, he excels in Python, Ruby on Rails, C++, and more. His expansive knowledge covers areas like bioinformatics and algorithmic trading, showcasing his diverse skill set. Dedicated to simplifying complex topics, he stands as a pivotal figure in online education, adeptly navigating students through the nuances of data science and AI.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 4
    ISBN: 9781835883549 , 1835883540
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. You'll learn how to make crucial architecture decisions, select optimal model types, configure hyperparameters, and curate quality training data. Discover professional techniques for pre-training, iterative fine-tuning, and rigorous model evaluation. The instructors reveal insider strategies to productionize your LLMs smoothly, monitor them proactively, and maintain optimal performance post-deployment. Following a structured curriculum spanning the complete LLM lifecycle, this masterclass empowers you with hands-on skills to build, refine, and deploy large language models with confidence. Turbocharge your generative AI initiatives and get the practical knowledge needed to create LLMs that solve complex challenges for your organization. What you will learn How to select the right LLM architecture for your use case Approaches for sourcing, cleaning, and labeling quality training data Pre-training methods and hyperparameter optimization Advanced fine-tuning techniques to boost performance Ways to thoroughly evaluate LLMs before deployment Best practices for monitoring, updating, and maintaining production LLMs Audience Data scientists, machine learning engineers, and AI developers seeking an in-depth understanding of large language model (LLM) development. This masterclass is designed for professionals aiming to build, optimize, and deploy enterprise-grade LLMs tailored to specific use cases, with a focus on practical skills and real business impact. About the Authors Maxime Labonne: Sr. Machine Learning Scientist, JPMorgan. Denis Rothman: Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author. Abi Aryan: ML Engineer and Author.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 8, 2024)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781836209591 , 1836209592
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.5/8
    Keywords: Microsoft Power BI (Computer file) ; Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Our video course is a comprehensive journey through the world of data visualization and analysis using Power BI. Hosted by Adam, this series is tailored for individuals aiming to leverage Power BI's robust capabilities to turn disparate data sources into coherent, visually immersive, and interactive insights. Beginning with an introduction to Power BI's ecosystem, Adam walks you through installing the software, understanding its interface, and the prerequisites needed to get started. The course progresses into more advanced topics such as connecting to data sources, refining data with queries, and creating interactive reports and dashboards. You'll learn not just the technical skills but also the thought processes behind effective data visualization and analysis strategies. Whether you're dealing with Excel spreadsheets or hybrid data warehouses, this course equips you with the knowledge to make data-driven decisions confidently. With a focus on real-world application, Adam ensures that by the end, you'll be proficient in using Power BI to its full potential, making you an invaluable asset to your organization. What you will learn Identify and connect to various data sources with Power BI Refine and transform data using Power BI desktop and service Create dynamic reports and dashboards Use DAX for basic measures Design mobile-responsive reports and dashboards Analyze data trends with Power BI's analysis features Audience This course is ideal for business and data analysts, BI professionals, and anyone interested in data visualization. A basic understanding of data principles is recommended but not required. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Adam Gordon: Adam Gordon has 30+ years as an IT instructor in the private and public sectors. He holds more than 160 IT certifications. He has trained thousands of IT pros over the course of his career. He has over 160 professional and IT certifications.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781836206071 , 1836206070
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: ChatGPT ; Python (Computer program language) ; Computer programming ; Artificial intelligence ; Python (Langage de programmation) ; Programmation (Informatique) ; Intelligence artificielle ; computer programming ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "Unlock the world of conversational AI with ""Create Your Own ChatGPT Clone using Python,"" a comprehensive video course designed to teach you the intricacies of AI model interactions. Starting with a solid introduction and setup requirements, this course swiftly moves into hands-on exercises where you'll engage with the ChatGPT API using Python. You'll not only learn about API parameters and endpoints but also how to weave these components into a responsive Python FastAPI service. Transitioning from Python to front-end development, the course empowers you to create a React project, giving life to your ChatGPT clone with engaging styles and functionalities. The journey continues into the nuances of fine-tuning models, where you'll tailor ChatGPT solutions to fit specific needs, offering personalized experiences. The course culminates in strategic model selection, ensuring you're equipped to choose the most effective GPT model for your project's requirements, capped off with a cohesive summary tying all learned concepts together. What you will learn Navigate the setup for ChatGPT API interaction. Create a Python FastAPI for ChatGPT. Construct and style a ChatGPT clone in a React environment. Customize ChatGPT models through fine-tuning techniques. Select the optimal GPT model for specific project needs. Synthesize course knowledge in a comprehensive project. Audience Geared towards Python developers keen on building AI chatbots, and AI and NLP enthusiasts looking to delve into chatbot development, this course suits students and professionals eager for hands-on AI and Python experience. A foundational grasp of Python, React, and basic API interactions is assumed, catering to innovators who want to unlock the potential of conversational AI. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions is at the forefront of technology training, boasting a vast global reach with over 1 million students across 200+ courses. With a rich history spanning over a decade, Eduonix's mission is to deliver industry-standard, high-quality training content created by a team of seasoned industry professionals. Their comprehensive curriculum covers a wide range of technologies, from Web and Mobility to Enterprise, Database, and Server Administration. Eduonix is dedicated to teaching technology in the context of real-world professional applications, ensuring that learners are equipped with the skills needed to excel in today's tech-driven landscape.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781836207856 , 1836207859
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: ChatGPT ; React (Electronic resource) ; Artificial intelligence ; Web applications Programming ; Intelligence artificielle ; Applications Web ; Programmation ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This meticulously designed course not only introduces you to the foundational aspects of React.js but also dives deep into integrating ChatGPT API, crafting a cutting-edge, AI-driven chat interface. Beginning with an introduction to React components and props, you'll quickly move on to master state management, essential for responsive and interactive UIs. As the course unfolds, you'll learn how to construct a chat window component, handle user inputs, and engage with the ChatGPT API using Axios for real-time, intelligent conversations. The curriculum is carefully structured to ensure a progressive learning path, from setting up a MySQL environment, through managing and manipulating data, to advanced querying techniques including JOINS and indexes for optimization. Moreover, you'll explore advanced features such as error handling with boundary components and adding polish to your application through CSS styling and loading indicators. The course culminates in a practical deployment phase, where you'll take your local development project to a global audience using Vercel, equipping you with the knowledge to launch your applications into the production environment confidently. What you will learn Create and manage React components and props Utilize React state for dynamic content updates Integrate the ChatGPT API with Axios for AI interactions Implement localStorage() for persistent data storage Secure app configurations with environment variables Design user interfaces with CSS and add loading indicators Audience Ideal for web developers, software engineers, and UI/UX designers looking to enhance their skill set in building AI-driven applications. Prerequisites include basic knowledge of JavaScript, HTML, and CSS. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805129202 , 1805129201
    Language: English
    Pages: 1 online resource (1 audio file (9 hr., 3 min.))
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Product management ; Audiobooks
    Abstract: Master the skills required to become an AI product manager and drive the successful development and deployment of AI products to deliver value to your organization. About This Audiobook Build products that leverage AI for the common good and commercial success Take macro data and use it to show your customers you're a source of truth Best practices and common pitfalls that impact companies while developing AI product In Detail Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This audiobook covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed. The first part of the audiobook focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products. You'll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You'll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you'll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this audiobook, you'll have understood how to navigate the world of AI from a product perspective. Audience This audiobook is a practical guide for product managers who want to learn and apply machine learning techniques to drive product development and growth. A clear, accessible style makes concepts and techniques covered easily understood and applied by product managers. It will be a valuable resource for those who want to stay ahead of the curve in the rapidly evolving field of AI and machine learning.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 11, 2023)
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  • 9
    ISBN: 9781805122661 , 1805122665
    Language: English
    Pages: 1 online resource (1 audio file (12 hr., 29 min.))
    Edition: [First edition].
    DDC: 658.514
    Keywords: Industries Technological innovations ; Business enterprises Technological innovations ; Industry 4.0 ; Artificial intelligence ; Audiobooks
    Abstract: Delve into industrial digital transformation and learn how to implement modern business strategies powered by digital technologies as well as organization and cultural optimization About This Audiobook Identify potential industry disruptors from various business domains and emerging technologies Leverage existing resources to identify new avenues for generating digital revenue Boost digital transformation with cloud computing, big data, artificial intelligence (AI), and the Internet of Things (IoT) In Detail Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This audiobook is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works. After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you'll delve into advanced topics relating to overcoming various challenges. Later, the audiobook will take you through case studies in both private and public sector organizations. You'll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you'll discover how to create a playbook that can ensure success in digital transformation. By the end of this audiobook, you'll be well-versed with industrial digital transformation and be able to apply your skills in the real world. Audience This audiobook is for IT leaders, digital strategy leaders, line-of-business leaders, solution architects, and IT business partners looking for digital transformation opportunities within their organizations. Professionals from service and management consulting firms will also find this audiobook useful. Basic knowledge of enterprise IT and some intermediate knowledge of identifying digital revenue streams or internal transformation opportunities are required to get started with this audiobook.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 11, 2023)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835883143 , 1835883141
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer art ; Generative art ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Adobe Firefly puts the power of AI-generated images, text, and more directly into your creative workflow. In this comprehensive tutorial, teacher and Adobe expert Joseph Labrecque walks you through getting started with Firefly to boost your productivity and spark new creative possibilities. You'll learn how to generate AI art, photos, and text effects using intuitive text prompts. See how to refine and iterate on generations using Firefly's robust controls over styles, concepts, composition, and more. Discover workflows to easily bring AI generations into apps like Photoshop and Express to expand and enhance your work. The video covers key techniques like generative fill and expansion in Photoshop, leveraging Firefly in Express, and sharing your creations. With Joseph's in-depth guidance and hands-on demonstration, you'll gain the skills to harness Firefly's generative power to rapidly ideate, accelerate your workflow, and unlock new creative potential. What you will learn Demo of Firefly in Photoshop and Express integration How to generate images, text effects, and more with text prompts Methods to refine and iterate on generations using Firefly's controls Workflows to bring AI generations into Photoshop, Express, and other apps Techniques like generative fill, expansion, and text effects How to share and submit your AI creations to the Firefly community Audience Creatives, designers, and artists looking to infuse their work with the power of generative AI. This tutorial is perfect for individuals interested in exploring Adobe Firefly to streamline their creative process and enhance their projects with AI-generated images, text effects, and more. About the Author Joseph Labrecque: Joseph Labrecque is a creative developer, designer, and educator with nearly two decades of experience creating expressive web, desktop, and mobile solutions. He joined the University of Colorado Boulder College of Media, Communication and Information as faculty with the Department of Advertising, Public Relations and Media Design in Autumn 2019. His teaching focuses on creative software, digital workflows, user interaction, and design principles and concepts. Before joining the faculty at CU Boulder, he was associated with the University of Denver as adjunct faculty and as a senior interactive software engineer, user interface developer, and digital media designer. Labrecque has authored a number of books and video course publications on design and development technologies, tools, and concepts through publishers which include LinkedIn Learning, Apress, Peachpit, Packt, and Adobe. He has spoken at large design and technology conferences such as Adobe MAX and for a variety of smaller creative communities. He is also the founder of Fractured Vision Media, LLC; a digital media production studio and distribution vehicle for a variety of creative works. Joseph is an Adobe Education Leader, Adobe Community Expert, and member of Adobe Partners by Design. He holds a bachelor's degree in communication from Worcester State University and a master's degree in digital media studies from the University of Denver.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804617250 , 1804617253
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TensorFlow is the world's most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI and machine learning. So, if you want to do deep learning, you got to know TensorFlow. In this course, you will learn how to use TensorFlow 2 to build deep neural networks. We will first start by learning the basics of machine learning, classification, and regression. Then in the next section, we will understand the connection between artificial neural networks and biological neural networks and how that inspires our thinking in the field of deep learning. In the last two sections, you will learn about loss functions to understand mean squared error, binary cross entropy, and categorical cross entropy and gradient descent to understand stochastic gradient descent, momentum, variable and adaptive learning rates, and Adam optimization. By the end of this course, we will have understood how to use TensorFlow for artificial neural networks in deep learning. What You Will Learn Understand what machine learning is Build linear models with TensorFlow 2 Learn how to build deep neural networks with TensorFlow 2 Learn how to perform image classification and regression with ANN Learn loss functions such as mean-squared error and cross-entropy loss Learn about stochastic gradient descent, momentum, and Adam optimization Audience This course is designed for anyone interested in deep learning and machine learning, anyone who wants to implement deep neural networks in TensorFlow 2, or anyone interested in building a foundation for convolutional neural networks, recurrent neural networks, LSTMs (Long Short Term Memory), and transformers. One must have decent Python programming skills and should be comfortable with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805129813 , 1805129813
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: React (Electronic resource) ; Web site development ; Java (Computer program language) ; HTML (Document markup language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This HTML, CSS, JS, and React course is a comprehensive training program covering essential web development topics. From HTML/CSS fundamentals to JavaScript and React.js components, gain skills to build dynamic and engaging websites About This Video Learn HTML, CSS, JavaScript, and React comprehensively on essential front-end web development skills Acquire hands-on practical experience working on real-world projects throughout the course Gain front-end web development concepts/skills to create functional and visually appealing websites In Detail This course covers essential topics including HTML and CSS fundamentals, creating responsive layouts, JavaScript for interactivity, introduction to React, building reusable components, working with APIs, and designing quality front-end UIs. Gain skills needed to work on front-end web development and create engaging and dynamic websites. This in-depth course covers HTML, CSS, JS, and React. You will learn HTML 5 features, CSS 3 styling techniques, JavaScript syntax and implementation, React.js components and hooks, DOM manipulation, working with APIs, and using libraries such as Material UI. Through hands-on projects and practical examples, we will build interactive and dynamic websites. Dive into HTML and CSS, learning tags, attributes, selectors, and styles. Build responsive layouts using CSS Grid and Flexbox. Add interactivity with JavaScript, including event listeners, DOM manipulation, and animations. Explore React's core concepts, building reusable components and handling state. Work with APIs to fetch and display data. Upon completion of the course, this course will equip you with the tools and knowledge to excel in front-end web development. From JavaScript basics to advanced app development, become a confident and up-to-date JavaScript developer.
    Note: "Published in June 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835881521 , 1835881521
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5 5
    Keywords: Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Prompt engineering is key to harnessing the immense capabilities of large language models. In this in-depth masterclass, data and AI specialist Valentina Alto unveils the art and science behind crafting effective prompts. You'll learn proven techniques to optimize prompting, control model behavior, reduce risks like hallucination, and overcome limitations. Valentina provides specific strategies to make your LLMs more precise, aligned to your goals, and production ready. With her deep expertise and hands-on guidance, you'll be able to create prompts that act as precise instructions enabling your large language models to deliver peak performance. This masterclass equips you with prompt engineering skills to build conversative AI applications that leverage the full potential of LLMs. What you will learn Fundamentals of prompting and how it powers LLM applications Principles and advanced techniques for strategic prompt engineering Techniques to reduce risks like hallucination through careful prompting Approaches to chain prompting for multi-step reasoning Defensive techniques to secure prompts against injection attacks Ways to protect prompts against hacking attempts and misuse Audience This masterclass is ideal for anyone seeking to unlock the full potential of LLMs through advanced prompt engineering techniques. Whether you're a seasoned AI professional or someone looking to delve into the intricacies of optimizing LLM performance, this session provides valuable insights and actionable strategies. About the Author Valentina Alto: After completing her bachelor's degree in finance, Valentina Alto pursued a master's degree in data science in 2021. She began her professional career at Microsoft as an Azure Solution Specialist, and since 2022, she has been primarily focused on working with Data & AI solutions in the Manufacturing and Pharmaceutical industries. Valentina collaborates closely with system integrators on customer projects, with a particular emphasis on deploying cloud architectures that incorporate modern data platforms, data mesh frameworks, and applications of Machine Learning and Artificial Intelligence. Alongside her academic journey, she has been actively writing technical articles on Statistics, Machine Learning, Deep Learning, and AI for various publications, driven by her passion for AI and Python programming.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing | Sebastopol, CA : O'Reilly Media Inc.
    ISBN: 9781805122432 , 1805122436
    Language: English
    Pages: 1 Online-Ressource (1 audio file (8 hr., 54 min.)
    Edition: [First edition]
    DDC: 303.490905
    Keywords: Twenty-first century Forecasts ; Artificial intelligence ; Information technology Social aspects ; Human-computer interaction ; Interpersonal relations ; Technology Social aspects ; Business enterprises Computer networks
    Abstract: Transformation in the digital arena is all set to drive innovations and the global economy in the coming decade and beyond. The core technology sectors hold potential to drive large-scale opportunities. This audiobook covers the seven alternative technology revolutions: namely, Artificial intelligence (AI), augmented and virtual reality (AR/VR), blockchain and cryptocurrencies, the Internet of Things (IoT), autonomous vehicles, 3D printing, and quantum computing. This audiobook begins with the basics of Deep Tech. You will explore using automation through AI followed by extended reality (XR), which combines virtual reality (VR), augmented reality (AR), and mixed reality (MR) to help interact with virtual objects. You will also work through real-life examples to learn about blockchain, cryptocurrency, and hysteria. You will learn how to enhance convenience and security using IoT. You will explore the benefits, impacts, and processes of autonomous vehicles (AV). You will also explore how manufacturing processes were revolutionized through 3D printing. You will conclude with quantum locks to understand secure and advanced security. Upon completion, with Deep Tech, you will become fluent in innovative technologies and participate in the decade's greatest opportunities. What You Will Learn Learn the fundamentals of AI and how to automate tasks at hand Know about the latest trends of VR, XR, AR, and MR Gain clarity about blockchain technology and cryptocurrency Dig into the use of IoT devices and AV Explore how to put 3D Printing to use with ease Dive into quantum computing and its futuristic applications Audience This audiobook is tailored for entrepreneurs and tech leaders who aspire to deepen their understanding of emerging technologies. Apply them in the changing landscape of the global economy. It is well-suited for beginners who wish to gain knowledge of Deep Tech emerging in the era of disruptive innovation. Entrepreneurs seeking fluency in the language and the possibilities of transformative technology will benefit from this audiobook. Prior knowledge of Deep Tech and technology sectors is not required. The objective coverage and personalized approach give it a relatable factor. About The Author Eric Redmond: Eric Redmond is a twenty-year veteran technologist who always happens to show up wherever Deep Tech history is being made, from the first iPhone apps to Big Data to Bitcoin. He has advised state and national governments, Fortune 100 companies, and groups as varied as the World Economic Forum, SXSW, and MIT Media Lab. He has also authored half a dozen technology books (including two tech books for babies) and spoken on every continent except Antarctica. Today, he is a husband, a dad, and the leader of a global tech innovation team.
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837632534 , 1837632537
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence
    Abstract: AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed. Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models. What You Will Learn Relate the concepts and theories for chatbots in various domains Compare conventional chatbots with deep learning-based chatbots Understand deep learning algorithms for chatbots Implement deep learning models for building real-world chatbots Learn about tokenization and setting up an encoder-decoder Implement recurrent neural network-based model development Audience This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023."
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781801076272 , 1801076278
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TensorFlow is the world's most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI (Artificial Intelligence) and machine learning. So, if you want to do deep learning, you must know TensorFlow. In this course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNN). We will first start by having an in-depth look at what convolution is, why it is useful, and how to integrate it into a neural network. Then you will learn how to apply CNNs to several practical image recognition datasets, from small and relatively simple to large and complex. Next, you will learn how to perform text preprocessing and text classification with CNNs In the last section, you will learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning for Computer Vision. By the end of this course, we will have understood how to build convolutional neural networks in deep learning with TensorFlow. What you Will Learn Understand the concept of convolution Integrate convolution into neural networks Apply CNNs to several image recognition datasets, both small and large Learn best practices for designing CNN architectures Learn about batch normalization and data augmentation Learn how to preform text preprocessing Audience This course is designed for anyone interested in deep learning and machine learning or for anyone who wants to implement convolutional neural networks in TensorFlow 2. One must have decent Python programming skills, should know how to build a feedforward ANN (Artificial Neural Network) in TensorFlow 2, and must have experience with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805128717 , 180512871X
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is not a replacement, but an enhancing tool and an incredibly powerful tool when it comes to programming and analyzing code, and ignoring the utility now or at the very least not giving it a proper test run could very well be missing out early on gaining the advantage. The primary focus of the course is to equip individuals with the knowledge and skills they need to create a fully functional AI-powered application that generates pet names for users. The course starts with introducing you to ChatGPT, the latest web development tools, and installing the required tools. You will gain hands-on experience with web development technologies, implement machine learning concepts in a real-world project, and gain a deeper understanding of machine learning concepts. The course is structured in a way that enables you to gain hands-on experience with React Hooks, which are essential for building interactive interfaces for ChatGPT-style applications. You will also see how to use Fetch to make API calls to OpenAI and NPX to run Node commands. By the end of the course, you will have gained practical experience in building an AI-powered application, using machine learning concepts, and creating interactive interfaces with React Hooks. You will have a fully functional pet name generator application to add to your portfolio. What You Will Learn Build an AI application using the OpenAI API and web development technologies Download and install the required tools along with dependencies Get hands-on experience with React, Next.js, JavaScript, Node, and CSS Use Fetch to make API calls to OpenAI and NPX to run Node commands Implement machine learning concepts in a real-world project Use React Hooks and build interactive interfaces for the AI application Audience This course is ideal for those who are interested in modern web development technology and want to gain confidence as a developer for jobs with ChatGPT. It is also suitable for those who already have basic JavaScript knowledge and want to learn more about expert topics. If you are interested in exploring the use cases of ChatGPT and want to get started with programming, this course is for you. Additionally, if you are interested in working on a ChatGPT project in the future, this course is a great starting point. No programming experience needed. You will learn everything you need to know inside. Basic JavaScript and web development is a plus! About The Author Clarian North: Clarian North is a recognized industry-certified instructor, CEO of Orbital LLC, and a senior project engineer with over 90K enrolments worldwide. His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and has been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice. He has worked for majors, indies, and international publishing houses, including Grammy-nominated and award-winning productions, mixing for Emirates Airline Inflight Radio, and producing for Kompakt Records. He is dedicated to giving accessible and comprehensive tech courses, teaching complex subject matter with clear and example-based explanations, and guiding students through complex techniques with just a computer and free software.
    Note: "Published in March 2023.". - Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835087428 , 1835087426
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Apache Kafka (Electronic resource) ; Application software Development ; Event processing (Computer science) ; Java (Computer program language) ; Electronic data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Welcome to the Kafka Streams API video course, where you will dive deep into building powerful Kafka Streams applications. In the first section, you will start by introducing the fundamental concepts and terminologies associated with Kafka Streams development. You will then move on to building a simple Kafka Streams app and testing it locally to gain hands-on experience. Next, you will explore the various operators available in the Kafka Streams API, gaining a solid understanding of how they contribute to building robust streaming applications. You will also delve into the serialization and deserialization process, learning the best approach to creating a generic serializer and deserializer that can be utilized for any type of message. Moving forward, you will take on the exciting task of implementing an order management system for a retail company using Kafka Streams. You will explore error handling mechanisms, KTable and GlobalKTable concepts, and dive into stateful operators and aggregation-related functionalities. Additionally, you will learn about the importance of rekeying records and the use of joins in your application. Continuing your journey, you will learn about writing automated tests for Kafka Streams apps, including unit tests and integration tests using Embedded Kafka. Additionally, you will explore the concept of a grace period and its application in Kafka Streams. Finally, you will learn how to package your Kafka Streams app as an executable and launch it effectively. By the end of this course, you will have a comprehensive understanding of the Kafka Streams API, enabling you to build a wide range of applications using this powerful tool. What You Will Learn Build advanced Kafka Streams applications using Streams API Build Kafka Streams application using high-level DSL Test Kafka Streams using TopologyTestDriver using JUnit5 Test Spring Kafka Streams using EmbeddedKafka and JUnit5 Aggregate multiple events into aggregated events Learn to join multiple streams into one joined stream About The Author Dilip Sundarraj: Dilip Sundarraj is a software engineer who has experience with building software since 2008. He is passionate about learning modern technologies and staying up to date with all the modern technologies, tools, frameworks, and more. He loves to share his knowledge with the world and that is one of the key reasons for him to be in the online teaching industry. He loves interacting with other software developers and believes that this helps him share knowledge and learn from them. During his leisure time, he loves to play cricket, watch movies, and work out in the gym to have a balance between physical and mental strength. Dilip has a YouTube channel named Code with Dilip, where he has been sharing a lot of technical content related to languages, frameworks, best practices, and more.
    Note: "Published in July 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 19
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835085417 , 1835085415
    Language: English
    Pages: 1 online resource (1 video file (16 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, we will embark on an exciting journey to master Rust programming from zero to hero, while leveraging the cutting-edge GPT-4 (ChatGPT) to build our very own AutoGPT agent, named "Auto-Gippity". Starting with a Rust crash course, you will learn the language inside out, progressing from basic concepts to intermediate and advanced topics. We will explore Rust installation, creating projects, functions, and more. This strong Rust foundation will set the stage for our AutoGPT project. Next, we will dive into the heart of the course. We will develop a web server template using Actix Web in Rust, integrating AI functions to write, test, and optimize code. Our AutoGPT agent, "Gippity", will amaze you by accepting tasks, breaking them down, and delegating them to specialized agents. We will create agents such as the Solutions Architect, Backend Developer, and more, each with unique roles to enhance Gippity's capabilities. Finally, we will put Gippity to the test. We will perform comprehensive evaluations, including human reviews, to ensure the accuracy and reliability of the code it generates. We will explore overcoming limitations and discuss the next steps for our AutoGPT project, leaving you with a clear roadmap to continue your AI and Rust journey. By the end of this course, you will be a proficient Rust programmer with an in-depth understanding of AI integration. What You Will Learn Build a fully functional web server using Actix Web framework in Rust Create an AutoGPT agent "Auto-Gippity" to generate, test, and optimize code Implement AI functions for precise responses from large-language-models Understand Rust's memory management and performance advantages Explore the creation of specialized AutoGPT agents for various tasks Master unit testing, error handling, and lifetimes in Rust Audience This course is designed for intermediate programmers looking to enhance their programming skills and venture into the world of Rust and AI-driven code generation. If you have a passion for cutting-edge technologies and a desire to build powerful automation tools, this course is for you. To make the most of this course, you should have a basic understanding of programming concepts and be able to program in another language. Familiarity with concepts such as for loops, if statements, and functions is essential, as we will dive straight into Rust programming. Additionally, access to the OpenAI GPT-4 API is required. About The Author XCHAIN ANALYTICS LTD: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 20
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835464427 , 1835464424
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field. In this course, you will embark on a journey through a diverse range of projects designed to deepen your understanding and application of cutting-edge technologies. These hands-on endeavors encompass a broad spectrum of applications, from creating dynamic question-answering applications powered by LangChain, OpenAI, and Hugging Face Spaces, to developing engaging conversational bots that enhance user interactions. You will even venture into the realm of educational AI, crafting customized experiences for children. As you progress, you will build captivating marketing campaigns, explore the world of summarization-enriched chatbots, and streamline tasks such as multiple-choice quiz creation and CSV data analysis. Plus, you will discover how to optimize HR processes, simplify email customization, and extract vital invoice details. With projects spanning from text-to-SQL query assistance to customer care call summaries, this course equips you with a comprehensive toolkit for advancing your skills and revolutionizing various domains of AI and software development. By the end of this course, you will not only have a strong grasp of LangChain's capabilities but also a robust portfolio of AI applications that showcases your expertise. What You Will Leanr Build AI-powered chatbots and applications with LangChain Create dynamic question-answering systems and conversational bots Implement automated marketing and customer support tools Learn to streamline data analysis and CSV processing Explore HR resume screening and email customization Master invoice data extraction and SQL query tools Audience This course is designed for individuals eager to explore the dynamic world of AI-powered language applications. If you are passionate about harnessing the potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, this course is your gateway to expertise. Prerequisites are minimal, requiring only a basic understanding of programming and coding. A curious mind and enthusiasm for AI are your most valuable assets. About The Author Sharath Raju: Sharath Raju is a senior software engineer specialized in AI and robotics. It has been over eight years since he worked in software development, robotic process automation (RPA), and AI app implementation. He has implemented over 80 RPA processes using UiPath and Microsoft Power Automate and has also built several AI-powered apps using different technologies. It is so true that someone learns more efficiently by practicing the skill than just reading something. Having a passion to share his knowledge in these technologies, he has created several step-by-step and easy-to-digest courses. His goal is to help you get ready for the future by learning new technologies and to prepare you to become more productive by getting familiar with the relevant and useful resources. He is still learning and exploring his field of work, and therefore, he welcomes any valuable feedback.
    Note: "Updated in September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835460320 , 1835460321
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer art ; Generative art ; Artificial intelligence ; Technology and the arts ; Art génératif ; Intelligence artificielle ; Technologie et arts ; generative art ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Welcome to an immersive journey into the cutting-edge landscape of AI-driven creativity. This course explores various AI platforms that redefine the boundaries of visual expression. You will kick off with DALL-E, a pioneering model known for its remarkable image-generation capabilities. Delve into the intricacies of prompt writing, understand how to articulate your creative vision effectively, and learn to guide AI models toward your desired outcomes. Next, you will navigate the expansive realm of AI platforms such as Images.ai, Lexica.art, Dreamstudio.ai, BlueWillow, and Midjourney. Each step unfolds new dimensions in image generation, from basic principles to advanced features. Unleash your creativity with Midjourney, AUTOMATIC 11, Dreamstudio, and more as you explore both its foundational basics and its advanced capabilities for intricate transformations, including text-to-image and image-to-image generation. The course goes beyond image generation, delving into the realm of basic AI photo editing tools that form the foundation of digital enhancement. Discover the magic of ClipDrop, experience the innovative Adobe Firefly, and explore the endless possibilities of RunwayML for creative experimentation. By the end, you will have valuable insights and hands-on experience to enhance your creative abilities. What you will learn Learn to generate captivating images using DALL-E's advanced capabilities Understand how to craft effective prompts for AI image generation Master the art of writing prompts that emphasize artistic expression, influencing AI models to create visually stunning outputs Gain an overview of Images.ai, understanding its features and capabilities Explore advanced settings in Images.ai, including model selection, prompt guidance, and more Learn the techniques of AI-driven image generation for portraits, logos, cartoons, and sci-fi artwork using Lexica.ai Audience This course is for beginner to advanced users interested in not just mastering one tool but all AI art generation tools to become a well-rounded AI artist. Whether you are just starting or looking to elevate your skills, this is the perfect place to start. About the Author HHN Automate Book Inc.: Henry Habib is a seasoned manager at a leading management consulting firm. He leverages his expertise to provide counsel on growth strategy, operation, and analytics to Fortune 500 companies. With a strong background in implementing data-driven solutions, Henry has a proven track record of making an impact in organizations of all sizes. He strongly advocates for no-code application development in business and deploys such solutions for his clients. These solutions are not only easier to understand but also quicker to implement. In addition to his consulting work, Henry is a dedicated professor who takes pleasure in guiding students toward success in various fields, ranging from case interviews to no-code application development and automation. His courses are designed to be engaging and informative, and he is always available to assist students in mastering challenging concepts.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835466759 , 1835466753
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This hands-on course on OpenAI API and ChatGPT is a meticulously crafted course that caters to both beginners and seasoned professionals. You will begin by establishing a solid foundation with AI definitions and acronyms, progressing seamlessly to creating an OpenAI account, setting up your environment, and understanding pricing structures. Next, you will learn to navigate the landscape of language models and transformers, unraveling their transformative power in generative AI. Dive into advanced techniques such as prompt engineering and thought prompting, gaining insights into how language models process prompts with encoders. Real-world applications come to life as you explore translating articles, generating images, and utilizing the text-to-speech and Computer Vision APIs for diverse tasks. From basic to advanced translation techniques, including subtitle translation to multiple languages, the course ensures that you are equipped for a broad spectrum of applications. Finally, grasp the nuances of fine-tuning, deploy models with the OpenAI API, and navigate the ethical considerations with dos and don'ts in AI. By the end of the course, you will gain the expertise needed to use the capabilities of ChatGPT and OpenAI API for language tasks. What you will learn Learn about OpenAI and its functionalities Learn to generate text with the OpenAI API Learn to translate with OpenAI API Learn to summarize with OpenAI API Learn to use OpenAI API with other libraries Learn to deploy OpenAI applications with GCP and AWS Audience This course is tailored for developers eager to harness the power of ChatGPT and the OpenAI API for language processing tasks. Whether you are an experienced developer looking to enhance your skills or a beginner with no prior experience in ChatGPT or the OpenAI API, this course provides a comprehensive and accessible learning journey. A basic understanding of Python, AWS, GCP, or a deployment environment would be beneficial. About the Author Delta X Technology LLC: Delta X Technology LLC is owned by Justin B, a highly skilled software engineer and AI creator with five years of industry experience. With a strong background in both theoretical and practical aspects of software engineering, Justin has worked on several projects involving machine learning. As the owner of Delta X Technology LLC, he is dedicated to sharing his expertise with students and helping them develop the skills needed to succeed in the field of AI. With a passion for teaching and a wealth of real-world experience, Justin offers students a unique perspective and valuable insights into the latest trends and best practices in AI development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835466728 , 1835466729
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience that will equip you with the knowledge and skills to create a groundbreaking AI-powered project. You will be introduced to the Text Completion App, providing a foundational understanding of language processing. Moving forward, we will delve into the versatility of ChatGPT, exploring its applications in various domains. Furthermore, we dissect OpenAI API Parameters and Streams applications. Continuing our exploration, we navigate through the art of prompt engineering and witness its practical implementation in the creation of a PDF Book Summarizer App. Next, we bring language processing to life with the Chatbot App, offering the unique opportunity to interact with virtual personalities such as Einstein and Bill Gates. Diving further, we receive personalized book recommendations with the Book Recommendations App, showcasing the AI's ability to understand individual preferences. Transitioning into the creative fusion of text and image, we introduce the Text to Image App using DALL-E. Subsequently, we venture into image editing, variations, and transformative applications with the Image Editing, Variations, and Audio to Text Apps using Whisper. By the end of the course, you will gain practical experience in developing diverse AI-powered applications. What you will learn Master text fundamentals, including compression, segmentation, and information extraction Learn keyword extraction and question answering techniques for effective information retrieval Explore sentiment analysis, emotion detection, and tone analysis for understanding textual nuances Explore image creation, display, and saving functionalities Generate diverse image variations for creative applications Explore speech-related tasks, including transcription and translation Audience This course is aimed at developers, both beginners and experienced coders, who are eager to harness the power of AI in their projects. Whether you are a tech enthusiast staying at the forefront of advancements or a student/educator recognizing AI's transformative potential, this course empowers you to integrate OpenAI's JS APIs seamlessly. Entrepreneurs with a vision for AI-driven products or services will discover how to turn ideas into reality, disrupting industries and driving business forward in the AI era. About the Author Development Island (UK): Issam Baou is the founder and director of Development Island based in Bedford, United Kingdom, and is specialized in providing the best technology courses on the Internet. He has two master's degrees in engineering and management from Cranfield University (UK) and Ecole Centrale, Paris. He has worked for many world-class companies in the past, including Amadeus, Ford, and Airbus, in different roles including web development, consulting, simulation, and teaching. He has a solid and successful track record of teaching mathematics and web development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 24
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837631667 , 1837631662
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.5/6
    Keywords: Recommender systems (Information filtering) ; Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Have you ever thought how YouTube adjusts your feed as per your favorite content? Ever wondered! Why is your Netflix recommending your favorite TV shows? Have you ever wanted to build a customized recommender system for yourself? Then this is the course you are looking for. We will begin with the theoretical concepts and fundamental knowledge of recommender systems. You will gain an understanding of the essential taxonomies that form the foundation of these systems. You will be learning how to use the power of Python to evaluate your recommender systems datasets based on user ratings, user choices, music genres, categories of movies, and their year of release. A practical approach will be adopted to build content-based filtering and collaborative filtering techniques for recommender systems. Moving ahead, you will learn all the basic and necessary concepts for the applied recommender systems models along with the machine learning models. Moreover, various projects have been included in this course to develop a very useful experience for you. By the end of this course, you will be able to relate the concepts and theories for recommender systems in various domains, implement machine learning models for building real-world recommendation systems, and evaluate the machine learning models. What Yoy Will Learn Explore AI-integrated recommender systems basics Look at the basic taxonomy of recommender systems Study the impact of overfitting, underfitting, bias, and variance Build content-based recommender systems with ML and Python Build item-based recommender systems using ML techniques and Python Learn to model KNN-based recommender engine for applications Audience No prior knowledge of recommender systems, machine learning, data analysis, or mathematics is needed. Only the working knowledge of basics of Python is required. You will start from the basics and gradually build your knowledge in the subject. This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs. The course is suitable for individuals who want to advance their skills in ML, master the relation of data analysis with ML, build customized recommender systems for their applications, and implement ML algorithms for recommender systems. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published March 2023.". - Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 25
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835089934 , 1835089933
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer graphics Programming ; Computer art ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Midjourney is a user-friendly platform that revolutionizes the design process. It empowers designers of all levels to create stunning visuals effortlessly. With its versatile tools and intuitive interface, Midjourney opens a world of endless creativity. Whether you are an aspiring designer or a seasoned professional, this platform provides the tools and resources to propel your design career forward. The course begins with an introduction to Midjourney, guiding us through the initial setup and familiarizing us with the platform's features. We will explore different techniques to capture and express creative vision, generate captivating images and patterns, optimize designs by adjusting aspect ratios, and utilize stylization commands. The course delves into advanced topics such as testing models, adjusting quality settings, and leveraging chaos for desired outcomes. You will learn time-saving strategies, including using presets and assigning importance to words. Ethical considerations surrounding Midjourney are addressed, as well as real-world applications for business growth. Upon completion, you will be equipped with the skills to confidently navigate Midjourney, create stunning visuals, optimize designs, and use its features for personal and professional growth, unleashing the full potential of this innovative design platform. What You Will Learn Learn to create stunning designs using Midjourney's AI capabilities Explore and master various art styles on the Midjourney platform Use essential commands in Midjourney to optimize design workflow Develop skills in crafting repeatable and versatile patterns Design engaging/expressive art content for personal/commercial use Discover strategies to turn Midjourney creations into profitable ventures Audience This course is ideal for those eager to embrace new technology, equivalent to learning to code 20 years ago. Designers seeking to stay relevant and up to date with cutting-edge technology will find tremendous value in mastering Midjourney and gain the opportunity to propel their skills and career forward in the ever-evolving world of design. The prerequisites include the Midjourney Basic Plan, which offers an affordable monthly subscription at just $10. With this plan, you gain access to a range of features and tools that will enable you to create fantastic designs. About The Author Cristian Doru Barin: Chris Barin is a seasoned web and app designer with extensive Photoshop experience. As an Adobe Certified Instructor and Photoshop Expert, he has gained the trust of over 270,000 students worldwide. Chris's courses are practical and result-driven, emphasizing efficiency. From his freelance beginnings to running a successful Android design studio, he has earned over $50k and amassed 100 million app downloads. Passionate about teaching, Chris shares his experiences vocally, offering top-rated/best-selling courses on Udemy. His responsiveness, clear explanations, and effective teaching style have a huge fan following. He loves to connect with learners to enhance their learning experience and gain valuable insights into the design industry.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 26
    ISBN: 9781837637188
    Language: English
    Pages: 1 online resource (602 pages) , illustrations
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Java (Computer program language) ; Java (Langage de programmation)
    Abstract: Learn Java with Projects stands out in the world of Java guides; while some books skim the surface and others get lost in too much detail, this one finds a nice middle ground. You’ll begin by exploring the fundamentals of Java, from its primitive data types through to loops and arrays. Next, you’ll move on to object-oriented programming (OOP), where you’ll get to grips with key topics such as classes, objects, encapsulation, inheritance, polymorphism, interfaces, and more. The chapters are designed in a way that focuses on topics that really matter in real-life work situations. No extra fluff here, so that you get more time to spend on the basics and form a solid foundation. As you make progress, you’ll learn advanced topics including generics, collections, lambda expressions, streams and concurrency. This book doesn't just talk about theory—it shows you how things work with little projects, which eventually add up to one big project that brings it all together. By the end of this Java book, you’ll have sound practical knowledge of Java and a helpful guide to walk you through the important parts of Java.
    Note: Includes index
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  • 27
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805124597 , 1805124595
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is a language generation model developed by OpenAI. Its newest form, Davinci, is behind the ChatGPT program we all know. It grew popular in December 2022 after people started using it and seeing how amazingly it deals with prompt-response completion questions. This course's objective is to build applications and solutions with ChatGPT. You will do that by learning more about OpenAI and ChatGPT and how to use their APIs in your platforms. You will create a serverless function that can take ChatGPT prompts and return responses--the first step to integrate your ChatGPT into your app. You will learn to incorporate the ChatGPT API into many platforms. Connect to OpenAI API and create Azure functions that leverage ChatGPT. Finally, you will develop complete applications and solution examples, including CoverLetterCreator, StockPhotoPPT, PolitelySayNo, and TravelPlan. Upon completion, you will use ChatGPT to increase your productivity and build real-life solutions and applications from scratch using ChatGPT. You will leverage this unique AI model with other OpenAI models such as DALL-E to create business software independently. You will integrate the API into different platforms, including Outlook, Power Apps, Power Automate, Airtable, and Bubble, and build real-life applications and solutions from scratch. What You Will Learn Integrate ChatGPT into business, Outlook, Teams, Excel, and Bubble Build no-code apps, Power Apps, Airtable, TravelPlan, and Tchat Create an app to plan itineraries based on location and trip length Integrate ChatGPT API into Azure Functions to incorporate it anywhere Build a ChatGPT app to create cover letters based on jobs and resumes Make an app to generate stock photos for pitch presentations, slide decks Audience This course is designed for managers and employees who want to integrate ChatGPT into their daily workflows, to improve the efficiencies of their teams by integrating ChatGPT into their tools. Individuals wishing to build and monetize full applications and solutions using ChatGPT or students who want to learn to link ChatGPT into other application/solution-building software such as Bubble, Airtable, Power Apps, and more benefit from this course. About The Author HHN Automate Book Inc.: Henry Habib is a seasoned manager at a leading management consulting firm. He leverages his expertise to provide counsel on growth strategy, operation, and analytics to Fortune 500 companies. With a strong background in implementing data-driven solutions, Henry has a proven track record of making an impact in organizations of all sizes. He strongly advocates for no-code application development in business and deploys such solutions for his clients. These solutions are not only easier to understand but also quicker to implement. In addition to his consulting work, Henry is a dedicated professor who takes pleasure in guiding students toward success in various fields, ranging from case interviews to no-code application development and automation. His courses are designed to be engaging and informative, and he is always available to assist students in mastering challenging concepts.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed April 24, 2023)
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  • 28
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837638062 , 1837638063
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 025.04
    Keywords: Recommender systems (Information filtering) ; Artificial intelligence ; Machine learning ; Artificial intelligence ; Machine learning ; Recommender systems (Information filtering) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Recommender systems are used in various areas with commonly recognized examples, including playlist generators for video and music services, product recommenders for online stores and social media platforms, and open web content recommenders. Recommender systems have also been developed to explore research articles and experts, collaborators, and financial services. The course begins with an introduction to deep learning concepts to develop recommender systems and a course overview. The course advances to topics covered, including deep learning for recommender systems, understanding the pros and cons of deep learning, recommendation inference, and deep learning-based recommendation approach. You will then explore neural collaborative filtering and learn how to build a project based on the Amazon Product Recommendation System. You will learn to install the required packages, analyze data for products recommendation, prepare data, and model development using a two-tower approach. You will learn to implement a TensorFlow recommender and test a recommender model. You will make predictions using the built recommender system. Upon completion, you can relate the concepts and theories for recommender systems in various domains and implement deep learning models for building real-world recommendation systems. What You Will Learn Learn about deep learning and recommender systems Explore the mechanisms of deep learning-based approaches Learn to implement a two-tower model for recommenders Implement TensorFlow to develop a recommender system Learn basic neural network models for recommendations Explore neural collaborative filtering and variational autoencoders Audience This course is designed for individuals looking to advance their skills in applied deep learning, understand relationships of data analysis with deep learning, build customized recommender systems for their applications, and implement deep learning algorithms for recommender systems. Individuals passionate about recommender systems with the help of TensorFlow Recommenders will benefit from this course. Deep learning practitioners, research scholars, and data scientists will also benefit from the course. The prerequisites include a basic to intermediate knowledge of Python and Pandas library. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 29
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837635092 , 1837635099
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence ; Artificial intelligence ; Human-computer interaction ; Machine learning ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Chatbots are software applications used for online chat conversations through text or text-to-speech instead of providing direct contact with a live human agent. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering. This course begins with a brief overview of chatbots, their need, and the types of chatbots. We will explore rule-based versus self-learning chatbots. We will understand the working mechanism of chatbots. We will explore machine learning-based chatbots and understand the ML-based architecture of chatbots. You will learn about the purpose of ML-based chatbots and their impact. We will get an overview of the Natural Language Toolkit (NLTK). You will learn to install packages and create a corpus with Python. We will delve into text preprocessing and helper function deployment, generate responses, and implement term-frequency times inverse document-frequency. We will train and test rule-based chatbots and finally work on a project developing an artificial intelligence question-answer chatbot using NLTK. Upon course completion, you will be able to relate the concepts and theories for chatbots in various domains, understand and implement machine learning models for building real-time chatbots, and evaluate machine learning models in chatbots. What You Will Learn Learn about chatbot types, rule-based and self-learning chatbots Learn text preprocessing and develop helper functions with Python Explore the impact and overview of the Natural Language Toolkit Gain hands-on practice, generate text in Python to develop chatbots Explore testing and training of chatbot with machine learning Implement term-frequency times inverse document-frequency hands-on Audience This course delivers content to people wishing to advance their skills in applied machine learning, master data analysis with machine learning, build customized chatbots for their applications, and implement machine learning algorithms for chatbots. This course is for you if you are passionate about rule-based and conversational chatbots. Machine learning practitioners, research scholars, and data scientists can benefit from the course. No prior knowledge of chatbots, or machine learning, is needed. You will need to know basic to intermediate Python coding, which is not taught separately in the course. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 30
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805124269 , 1805124269
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Natural language generation (Computer science) Computer programs ; JavaScript (Computer program language) ; User interfaces (Computer systems) ; Artificial intelligence ; Computer graphics ; Instructional films ; Nonfiction films ; Internet videos
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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  • 31
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835086667 , 1835086667
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In today's world, artificial intelligence (AI) is changing the way we create content. AI models like ChatGPT and DALL-E 2 are becoming increasingly sophisticated, enabling us to generate high-quality text and images at an unprecedented speed and scale. As a result, it's essential for creatives to understand how to leverage these tools effectively. In this course, you will learn the fundamentals of generative AI and how to use it ethically and responsibly. You will discover the strengths and limitations of these models and when to use them for content creation. You will also explore various applications of AI in the creative industries and the legal and ethical implications of using these tools. The course begins with an introduction to generative AI and an overview of popular models such as ChatGPT and DALL-E 2. You will then delve into the strengths and limitations of AI, including its ability to create content quickly, revise content, and break through creative block. You will also learn about the limitations of AI, including the finite nature of training data, issues of accuracy, plagiarism, and bias, and the need for human modification. By the end of the course, you will have a solid understanding of the role of AI in content creation and the ethical considerations that come with using these tools. You will be able to navigate the strengths and limitations of AI and make informed decisions about when and how to use it. What You Will Learn Navigate risks and limitations of AI Master prompt engineering techniques for quality output Understand key legal concepts for professional usage Address AI bias to improve creative work Develop AI guidelines for team best practices Embrace transparency for unique human perspective Audience This course is designed for creatives, marketers, and anyone interested in learning how to use generative AI tools for content creation. No prior experience with AI is required, as the course covers the fundamentals of AI and the capabilities and limitations of generative AI. However, a basic understanding of digital media tools and technology is recommended. You should also have access to a computer and a stable internet connection. About The Author AI Daily LLC: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 32
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835084304 , 1835084303
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: ChatGPT ; Computer art ; Generative art ; Artificial intelligence ; Technology and the arts ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Generative AI has revolutionized the art world by providing an entirely new way to create unique and stunning visuals. In today's age of technology, it's essential to keep up with the latest tools and techniques, and this is where this comprehensive course on AI-generated art comes in. In this course, you will learn how to create stunning visuals using the latest AI art software, including DALL-E, Midjourney, and other tools. You will begin by learning the basics of generative AI and its applications in art. From there, you will explore various AI art software and learn how to use them to create beautiful pieces of art. The course will cover everything from generating simple images to creating complex visuals and textures. You will learn how to tweak parameters, adjust styles, and create custom datasets to get the exact output you want. Additionally, you will explore the different types of generative art, including style transfer, GANs, and neural style transfer. By the end of this course, you will be well-versed in generative AI and its applications in art. You will have a solid understanding of how to use various AI art software, including DALL-E, Midjourney, and others, to create stunning visuals. What You Will Learn Understand the theory behind AI and GPT-3 Learn how to construct effective text prompts for AI art Learn different framing techniques for AI-generated art Explore different AI art software and their unique features Implement image URLs for visual inspiration in Midjourney Learn how to perform image masking with DALL-E 2 Audience This course is ideal for anyone who is interested in exploring the potential of generative AI art. Whether you are an artist, graphic designer, photographer, or simply a creative person, this course will equip you with the skills and knowledge to produce stunning and unique AI-generated artwork. No prior experience in programming or AI is required as this course is designed for beginners. About The Author Oliver Theobald: Oliver Theobald is an accomplished technical writer and the best-selling author of "Machine Learning for Absolute Beginners". With expertise in AI, fintech, and cloud computing, he has worked in various technical roles across the globe. Oliver currently splits his time between China and Japan, where he continues to expand his knowledge and passion for emerging technologies. As an instructor, Oliver brings a unique approach to teaching complex topics. He believes in cutting through the jargon and presenting information in a clear, concise, and engaging manner. His course content is designed to be easy to understand, yet powerful in its application. Whether you're an absolute beginner or an experienced professional, Oliver's goal is to help you build the skills and knowledge you need to succeed in your field.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 33
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835081785 , 1835081789
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is an advanced AI-based conversational agent developed by OpenAI. It is a large language model trained on massive data to understand natural language and generate human-like responses to various questions and prompts. ChatGPT is designed to engage in multiple conversational tasks, from answering general knowledge questions to providing personalized recommendations and advice. This course begins with a brief introduction to ChatGPT and LLMs and delves into tips for success and getting the most out of ChatGPT. It discusses in detail the strengths, weaknesses, restrictions, and limitations of ChatGPT. The importance of verifying information and finding relevant sources is examined. You will learn to create a Notion Swipe File to supercharge our ChatGPT use and different strategies for drafting perfect prompts. We will explore advanced prompt engineering to enhance our outputs and the art of utilizing follow-up prompts. You will learn to tailor prompt outputs to specific voice tones and use context primers to personalize your outputs further. We will explore endless lists of ideas regarding verbs, formats, expert personas, and customer archetypes. Upon completion, you will be adept at using ChatGPT for social media content creation, account growth, and post ideation, and improve efficiency in professional and personal settings. What You Will Learn Explore advanced features and capabilities of ChatGPT Understand the strengths, weaknesses, and limitations of ChatGPT Acquire problem-solving/decision-making skills with ChatGPT predictivity Develop skills to train and fine-tune ChatGPT models for specific apps Understand the ethical/potential risks of using AI in communication Learn advanced AI art and graphics generation (using ChatGPT/MidJourney) Audience This course is designed to be accessible to learners of all levels and caters to professionals and freelancers who are seeking to integrate ChatGPT into their work and personal lives; students looking to upskill and learn how to utilize ChatGPT in their schooling best; and jobseekers looking to leverage the tool to increase their chances of landing their dream career. The prerequisites for the course include a ChatGPT account and the willingness to learn. No coding or technical knowledge is required to complete the course. About The Author Sean Melis: Sean is a seasoned multimodal designer with 15 years of experience, skilled in social media marketing, web design, video production, community management, technology consulting, and conversational AI. As the founder of a successful startup, Bot Hello, he has developed chatbots for renowned brands like Maybelline New York, Lanc©þme, Anytime Fitness, and Mercedes Benz, and for Australia's largest music festivals, health-food brands, and AFL teams. Sean has worked as an AI consultant for Deloitte. Courier Mail recognized him as a B&T 30 Under 30 Entrepreneur and Top 20 Under 40 Entrepreneur. Sean enjoys helping people understand and utilize tools like ChatGPT, fulfilling their lives and focusing on activities they love.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 34
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781835081181 , 1835081185
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is an advanced language model that generates human-like text. Prompt engineering involves shaping prompts to elicit desired responses, a valuable technique in software development, allowing developers to interact with ChatGPT for explanations, code snippets, design suggestions, and documentation assistance. The course begins with an introduction to ChatGPT, its capabilities, and applications in software development. You will learn to use ChatGPT for certification preps as a study aid and resource to understand key concepts. The course covers how ChatGPT can be utilized for tech interview preparation, practicing coding challenges, answering technical questions, and enhancing interview performance. We will explore how ChatGPT can be used in Docker, understanding Docker concepts. Moving on, we will delve into designing software systems with ChatGPT and brainstorm and evaluate design options, patterns, and trade-offs. You will learn to program with ChatGPT, seek explanations, and code examples in various programming languages/frameworks. Upon completion, we will gain a comprehensive understanding of ChatGPT/prompt engineering techniques that will enable us to effectively utilize ChatGPT to enhance software development productivity and acquire skills to design systems, write programs, and create documents with the assistance of ChatGPT. What You Will Learn Use ChatGPT to develop software on different languages/frameworks Learn strategies for using ChatGPT to prepare for certifications Explore techniques to excel in technical interviews using ChatGPT Integrate ChatGPT with Docker for enhanced development workflows Design software systems using ChatGPT for improved design options Build software development projects with ChatGPT to boost productivity Audience This course is ideal for beginners interested in using ChatGPT for software development. Whether you are a software developer, engineer, or someone looking to enhance productivity in software development, this course is designed to equip you with the necessary skills to leverage ChatGPT effectively. Regardless of your current level of expertise, this course will help you harness the power of ChatGPT to boost your productivity and optimize your software development workflows. Basic programming knowledge is recommended as a prerequisite for this course. About The Author Praveenkumar Bouna: Praveenkumar Bouna is a highly rated cloud instructor with a 4.5 instructor rating and over 2,869 reviews. He has taught over 31,154 students across 18 courses. With a background in the security domain and experience at Honeywell, Praveen has extensive expertise in designing and developing products using the .NET stack. He holds a patent and has presented two papers in the field. Praveen is a Certified ScrumMaster (CSM) and has served as a Scrum Master for a Security R&D team for over 6 years. He has published 30+ Udemy courses and Udemy Labs, sharing his knowledge with over 25,000 students on various software development topics. Explore Praveenkumar Bouna's courses below, covering Azure, Web Development, Scrum, and C# Development, to expand your skills in these areas.
    Note: "Published in July 2023.". - Praveenkumar Bouna, presenter. - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 35
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781803242828 , 1803242825
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 7 min.)) , sound, color.
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Recurrent Neural Networks are a type of deep learning architecture designed to process sequential data, such as time series, text, speech, and video. RNNs have a memory mechanism, which allows them to preserve information from past inputs and use it to inform their predictions. TensorFlow 2 is a popular open-source software library for machine learning and deep learning. It provides a high-level API for building and training machine learning models, including RNNs. In this compact course, you will learn how to use TensorFlow 2 to build RNNs. We will study the Simple RNN (Elman unit), the GRU, and the LSTM, followed by investigating the capabilities of the different RNN units in terms of their ability to detect nonlinear relationships and long-term dependencies. We will apply RNNs to both time series forecasting and NLP. Next, we will apply LSTMs to stock "price" predictions, but in a different way compared to most other resources. It will mostly be an investigation about what not to do and how not to make the same mistakes that most blogs and courses make when predicting stocks. By the end of this course, you will be able to build your own build RNNs with TensorFlow 2. What You Will Learn Learn about simple RNNs (Elman unit) Covers GRU (gated recurrent unit) Learn how to use LSTM (long short-term memory unit) Learn how to preform time series forecasting Learn how to predict stock price and stock return with LSTM Learn how to apply RNNs to NLP Audience This course is designed for anyone interested in deep learning and machine learning or for anyone who wants to implement recurrent neural networks in TensorFlow 2. One must have decent Python programming skills, should know how to build a feedforward ANN in TensorFlow 2, and must have experience with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 36
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837637621 , 1837637628
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Chatbots are computer programs that converse with users, understand their intent, and reply based on preset rules and data. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering in e-commerce, education, entertainment, finance, health, and more. The course begins with an in-depth introduction to chatbot basics with ML, DL, and AWS. We will understand chatbots, their needs and types, rule-based/self-learning chatbots and their working mechanisms, and explore ML-based chatbot concepts. We will explore Natural Language Toolkit (NLTK) and install packages to create a corpus with Python. We will train and test the chatbot. We will then advance to DL-based chatbots and compare conventional with DL-based chatbots. You will learn about tokenization, encoder-decoder, and implementing RNN-based models. Finally, we will explore AWS for chatbot training with DL. We will examine the features of AWS and build a hotel booking chatbot with Amazon Lex. We will connect AWS Lambda to Amazon Lex and integrate the chatbot with Twilio. We will use AWS SDK and create response cards with chatbots. Upon completion, we will independently be able to build chatbots using ML, DL, and AWS Lex on Python, with a thorough understanding of the creation and functioning of these chatbots. What You Will Learn Learn the basic machine learning architecture for the chatbots Gain hands-on practice in text generation with Python for chatbots Learn about testing and training chatbots with machine learning Learn hands-on web-based development of the AWS chatbot Implement settings of a decoder-encoder model with Python Understand the impact/overview tokenization in chatbot development Audience This course is designed for individuals looking to advance their skills in applied machine learning and DL, understand relationships of data analysis with ML and DL, learn AWS and apply AWS Lex and Lambda for chatbots, build customized chatbots for their applications, implement DL algorithms for chatbots and rule-based self-learning chatbots. This course can benefit ML/DL practitioners, research scholars, and data scientists researching chatbots. No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 37
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837638529 , 1837638527
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Amazon Web Services (Firm) ; Human-computer interaction ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers. The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning. Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course. Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites. What You Will Learn Learn the fundamentals of Amazon Web Services (AWS) Gain hands-on chatbot development with Amazon Lex and Amazon Lambda Explore web-based Amazon Web Services chatbot development Run code on AWS Lambda without provisioning or managing servers Learn practical usage of Twilio and its integration with AWS for chatbots Explore the functionality of Amazon Lex for chatbot development Audience This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications--AI practitioners, chatbot developers, research scholars, data scientists, and so on. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 38
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837632039 , 1837632030
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 025.04
    Keywords: Recommender systems (Information filtering) ; Artificial intelligence ; Artificial intelligence ; Recommender systems (Information filtering)
    Abstract: Recommender systems are algorithms that suggest relevant items to users (movies, books, products, or a service). Recommender systems are critical in specific industries to generate massive incomes efficiently or stand out significantly from competitors. The course begins with basic recommender system concepts. You will learn important recommender system taxonomies and recommender system mechanism development using machine and deep learning with Python. Python as a programming language will be taught in this course to implement machine and deep learning concepts efficiently. You will model a k-nearest neighbor-based recommender engine for various applications and know the pros and cons of deep learning-based mechanisms. You will build a recommender system for apps such as Spotify and explore neural collaborative filtering and variational auto-encoders for collaborative filtering. You will explore various matrices (item context, user rating, and error). You will understand recommender system quality, online/offline evaluation techniques, dataset partitioning, and overfitting. Upon completing the course, you will understand the roles and impacts of recommender systems in real-world applications with a unique hands-on experience in developing complete recommender system engines for customized datasets in various projects. What You Will Learn Explore recommender systems with integrated artificial intelligence Build item-based recommender systems with machine learning/Python Understand the pros and cons of deep learning in recommender systems Learn the basic neural network models for recommendations Understand the mechanism of generic deep learning-based approaches Implement two-tower models for developing a recommender system Audience This course is designed for individuals wanting to advance their applied machine/deep learning and master data analysis; individuals wishing to build customized recommender systems for their apps and implement machine/deep learning algorithms; individuals passionate about content and collaborative filtering-based and two tower-based recommender systems. Machine and deep learning practitioners, research scholars, and data scientists would also benefit from this course. As prerequisites, no prior recommender systems, ML, data analysis knowledge is needed. Basic Python knowledge is required. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023."
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  • 39
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805122005 , 1805122002
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Prompt engineering is strategically designing and modifying prompts used in ChatGPT to achieve desired outputs and crafting prompts that provide clear instructions, relevant context, or specific constraints to guide the generation process. The course begins with an introduction to prompt engineering and then briefly covers the course overview and objectives and any additional resources available in the course. We then move over to the basics of prompt engineering in further detail, including inputs, outputs, parameters, and learning to craft simple prompts. We will then evaluate the prompts and the best practices and tricks in prompts engineering techniques, Chain-of-Thought prompting, multilingual and multimodal prompts, and the non-deterministic nature of AI and human-AI collaboration. We will automate emails and social media posts and generate content in blogs, articles, and reports. We will indulge in creative writing and brainstorming to generate ideas and drafts, efficient research and information curation, task management, and decision-making. We will explore fairness and reducing bias, privacy, and data security. Upon completing the course, we will look at real-life scenarios and use cases for AI, learn to use prompt engineering, and practice newly learned techniques to leverage the power of prompts in ChatGPT. What You Will Learn Understand the basics and how to create prompts as a skill Discover role and nested prompting and advanced prompt engineering Learn about multilingual and multimodal AI systems Automate emails, social media posts, and write blogs and reports Learn creative writing, brainstorming, manage tasks/decision-making Learn about the responsible use of AI and ethical considerations Audience This course is designed to cater to technical and nontechnical individuals looking to join the AI revolution soon. Avid learners that want to stay ahead of the curve and enhance their skills to achieve their maximum potential using AI tools, trainers and educators, managers, researchers, data analysts, creative writers, bloggers, social media managers, human resource officers, auditors, sales representatives, marketing specialists, copywriters, and project managers can benefit from this course. This course does not have any specific prerequisites other than basic computer knowledge. About The Author Andrei Gheorghiu: Andrei Gheorghiu is an experienced trainer, passionate about helping learners achieve their maximum potential. With a background in IT audit, information security, and IT service management, he has delivered training to over 10,000 students across different industries and countries. He brings expertise and empathy to his teaching as a trainer and quality reviewer of accredited ITIL training courses. He is also a Certified Information Systems Security Professional and Certified Information Systems Auditor interested in digital domains such as security management and artificial intelligence. He enjoys trail running, photography, video editing, and exploring the latest technological developments in his free time.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 40
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781805123910 , 1805123912
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is a large language model developed by OpenAI based on GPT (Generative Pre-trained Transformer), capable of generating human-like responses to natural language inputs and trained on a massive corpus of text data, making it highly proficient in tasks, including language translation, text summarization, and conversational dialogue. This course begins with an introduction to the fundamentals, prompting ideas for ChatGPT, and moves on to simplify complex information and prompt engineering. We will explore content creation, social media, copywriting, SEO, and video scripts and then into code generation, algorithms, debugging, and documentation. You will learn about Midjourney setup, settings, workflow, commands, prompting, and stylization. We will understand reiterating, upscaling, aspect ratios, and remixing, and then advance to DALL-E 2 website interface, layout, prompting, creating variations, inpainting, outpainting, and blending multiple images. We will explore generative AI for gigs, side hustles, freelance, and selling items online, create a talking AI avatar, bulk create TikTok, reels, and shorts. Upon completion, this course provides the skills and knowledge needed to leverage and benefit from the incredible AI tools revolutionizing how we approach work, tasks, and creativity. What You Will Learn Explore ChatGPT fundamentals and 150+ prompting ideas for ChatGPT Simplify complex information and prompt engineering using ChatGPT Use generative AI for gigs, side hustles, freelance, and selling online Use ChatGPT to generate code and algorithms, debug and document Explore Midjourney workflow, commands, prompting, and stylization Use DALL-E 2 for a website interface, layout, prompts, and creating variations Audience This course is designed for individuals interested in using AI tools like ChatGPT to create amazing content, regardless of background or experience. Whether you are an entrepreneur, student, professional, or just a curious learner, this course is accessible, engaging, and empowering for everyone keen on using ChatGPT. The prerequisites include no prior experience with AI or programming, but an eagerness to learn and explore new technologies is desirable. About The Author Julian Melanson: Julian Melanson is a full-time teacher and best-selling instructor dedicated to helping students realize their full potential. With the honor of teaching over 150,000 students from 130 countries across the globe, he has honed his teaching skills to become an expert in this field. He focuses on unlocking the potential of creativity and productivity with AI tools and filmmaking techniques learned over the years, creating countless content for clients from many industries.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 41
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781803238531
    Language: English
    Pages: 1 online resource (308 pages) , illustrations
    Edition: Fifth edition.
    DDC: 794.8/1526
    Keywords: Unity (Electronic resource) ; Computer games Programming ; Artificial intelligence ; Three-dimensional display systems ; Artificial Intelligence ; Jeux d'ordinateur ; Programmation ; Intelligence artificielle ; Affichage tridimensionnel ; artificial intelligence ; three-dimensional ; Electronic books
    Abstract: Learn and implement game AI in Unity to build smart environments and enemies with A* pathfinding, finite state machines, behavior trees, and the NavMesh. Developing artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters. The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts and features related to game AI in Unity. As you progress, you'll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you'll understand how to set up a game map with a navigation mesh, incorporate movement through techniques such as A* pathfinding, and provide characters with decision-making abilities using behavior trees. By the end of this Unity book, you'll have the skills you need to bring together all the concepts and practical lessons you've learned to build an impressive vehicle battle game.
    Note: Includes bibliographical references
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  • 42
    ISBN: 9781837632688 , 1837632685
    Language: English
    Pages: 1 online resource (1 audio file (14 hr., 39 min.))
    Edition: [First edition].
    DDC: 005.13023
    Keywords: Computer programmers Vocational guidance ; Java (Computer program language) ; Audiobooks
    Abstract: Explore a wide variety of popular interview questions and learn various techniques for breaking down tricky bits of code and algorithms into manageable chunks About This Audiobook Discover over 200 coding interview problems and their solutions to help you secure a job as a Java developer Work on overcoming coding challenges faced in a wide array of topics such as time complexity, OOP, and recursion Get to grips with the nuances of writing good code with the help of step-by-step coding solutions In Detail Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer. This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability. By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job. Audience This book is for students, programmers, and employees who want to be invited to and pass interviews given by top companies. The book assumes high school mathematics and basic programming knowledge.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 13, 2022)
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  • 43
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    Language: English
    Pages: 1 online resource (1 video file (30 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Application software Development ; Python (Computer program language) ; SPARK (Computer program language) ; Artificial intelligence ; Artificial Intelligence ; Logiciels d'application ; Développement ; Python (Langage de programmation) ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use data science and statistics to solve business problems and gain insights into everyday problems with 35+ case studies About This Video Explore 16 statistical and data analysis, and six predictive modeling and classifiers case studies Work on four: data science in marketing and retail, and two time-series forecasting case studies Dive into three Natural Language Processing and one PySpark big data case studies, and a deployment project In Detail Right now, despite the Covid-19 economic contraction, traditional businesses are hiring data scientists in droves! Therefore, data scientist has become the top job in the U.S. for the last four years running. However, data science has a difficult learning curve. This course seeks to fill all those gaps and has a comprehensive syllabus that tackles all the major components of data science knowledge. You will be using data science to solve common business problems throughout this course. You will start with the basics of Python, Pandas, Scikit-learn, NumPy, Keras, Prophet, statsmod, SciPy, and more. You will learn statistics and probability for data science in detail. Then, you will learn visualization theory for data science and analytics using Seaborn, Matplotlib, and Plotly. You will look at dashboard design using Google Data Studio along with machine learning and deep learning theory/tools. Then, you will be solving problems using predictive modeling, classification, and deep learning. After this, you will move your focus to data analysis and statistical case studies, data science in marketing, and data science in retail. Finally, you will see deployment to the cloud using Heroku to build a machine learning API. By the end of this course, you will learn all the major components of data science and gain the confidence to enter the world of data science. Audience This course is designed for beginners in data science; business analysts who wish to do more with their data; college graduates who lack real-world experience; business-oriented persons who would like to use data to enhance their business; software developers or engineers who would like to start learning data science. Anyone looking to become more employable as a data scientist and with an interest in using data to solve real-world problems will enjoy this course thoroughly. No need to be a programming or math whiz; basic high school math will be sufficient.
    Note: "Updated in March 2022.". - Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 44
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804616406 , 1804616400
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 46 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Spring (Software framework) ; Java (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Be a part of a practical and step-by-step project-based course on building real-world use case applications; Property Management system with the help of Java, Spring Boot, JPA, and RESTful Webservices. About This Video Build a real-world project with the help of code files alongside the author to leverage your learning Learn different concepts of the Spring framework and RESTful webservices with hands-on examples Understand how to debug, troubleshoot and monitor your application in real-time In Detail This course will make you experience how projects are developed in software companies using modern stacks like Java, Spring, Spring Boot, Hibernate, Spring Data JPA, and RESTful webservices. In this course, you will be understanding how different technology and its components work together to build a real-world application that end users are able to use in real life. We will also learn to relate different concepts with real-world examples. You will learn different concepts of Spring Framework and RESTful webservices, different design patterns like Singleton, Prototype, Factory, MVC, Adapter, and so on, and create a production-ready application in a layered architecture. You will also look at ORM and Spring data JPA (Java Persistence API), Entity Relationship in Spring Data JPA, and implement Swagger API documentation. Next, you will implement application health monitoring, solve code quality issues using the Sonar Scan tool, and explore Maven build management tool. Finally, you will learn to test applications with the Postman client and develop a real-world project which you can use for yourself. By the end of this course, you will have built a real-world application that end-users are able to use in real life, titled Property Management System with the help of concepts learned throughout the course's journey. Audience This course is designed for beginner-level Java developer who wants to start their career in the IT field with a basic understanding of Spring Boot, JPA, and Hibernate with the help of a real project from scratch. This course will also help any Java developer who wants to learn Spring Boot and start building IT industry-grade applications. You would need a basic understanding of Java Programming to grasp the most out of this course.
    Note: "Updated in July 2022.". - Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 45
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781837635702 , 1837635706
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 0051/17
    Keywords: Object-oriented programming (Computer science) ; Java (Computer program language) ; Java (Computer program language) ; Object-oriented programming (Computer science)
    Abstract: Java is a high-level, class-based OOP language developed as a general-purpose programming language intended to write once and run anywhere (WORA). Compiled Java code can run on all platforms without the need to recompile. This course has been delivered over four modules. Module 1 explores the Java Development Cycle and allows us to differentiate between JDK versions and development tools. You will learn about operators and basic syntax and write a simple program. In module 2, The concepts covered include strings, string methods, StringBuilder, data flow diagrams, decision-making, loops, arrays, and simple programs. Module 3 delves into classes and objects, inheritance and polymorphism, Lambdas, and exception handling. Finally, over module 4, we will work on two UML case studies, including the ATM simulation and Employee payroll system. We will also learn about version control and GitHub integration of the projects developed. Upon completion of the course, you will gain comprehensive Java programming knowledge and be able to write complex codes in a real-world scenario independently. You will gain extensive foundational skills to become an intermediate to advanced-level developer. What You Will Learn Learn basic Java syntax using variables and built-in operators Use and understand inheritance facilities in programming Use interfaces and demonstrate polymorphic behavior Create and implement collections and data structures Utilize exception-handling facilities and defensive programming Create solutions based on UML models Audience This course caters to beginner and novice programmers who like to develop a basic understanding of writing simple object-oriented programming in Java. Programming hobbyists and creative people who love learning and want to understand how software systems work, or anyone looking to advance their programming skillsets. The desired prerequisites for this course require you to have a basic understanding of Data Flow (DFD) and UML diagrams and have access to a personal computer and internet connection. About The Author Doron Williams: Doron William helps businesses and individuals streamline their systems and make them more efficient. He aligns business processes with appropriate solutions and improves existing ones. He believes in helping find ways to make people's lives easier by leveraging cutting-edge technology and developing, automating, and deploying more efficient and user-friendly software solutions. He is a cloud and desktop-based solutions architect and software developer with experience in leading technical teams using Agile and DevOps methodologies to develop enterprise-level software solutions. He is also adept at analyzing the business to determine suitable strategies to install, maintain, and upgrade software and hardware infrastructure. He aims at helping businesses and individuals bridge the gap between humanity and technology.
    Note: "Published in November 2022."
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  • 46
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804619377 , 180461937X
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Java (Computer program language) ; Computer multitasking ; Electronic data processing Distributed processing ; Computer multitasking ; Electronic data processing ; Distributed processing ; Java (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Multithreading is an advanced topic for any developer, and they struggle to understand many allied concepts related to it. The goal here is to make you understand in depth the multithreading concepts, applied and exemplified in Java. The course starts with the basics of multithreading--threads, processes, concurrency, and parallelism. Then you will go through thread management concepts. After that, you will learn about thread synchronization and look at synchronization tools such as locks, wait sets and notifications, read and write locks and semaphores, barriers and phasers, and deadlocks and cache coherency enforcement. Next, you will explore tools in Java to deal with thread reusability, manage performance, choose the right parameters (tuning), and many others. Next, you will see how to improve the runtime of a couple of known algorithms through multithreading. After that, you will study a couple of problems and their solution on Java Threading API to understand parallelism and synchronization. Finally, you will look at the connection between multithreading and widely used frameworks, such as Spring Boot, JavaRx, and JavaFX. By the end of this course, you will understand multithreading in detail, get hands-on experience in Java, and learn to improve the performance of the app with multithreading. What You Will Learn Understand why multithreading is a real advantage for any Java developer Understand the basic building blocks of multithreaded applications Learn when multithreading can speed up the application and when it can't Look at the OS and hardware implications of a multithreaded application Leverage and connect the concepts learned with real-world projects See the connection between multithreading and widely used frameworks Audience This course is ideal for beginner Java developers who want to enhance their skillset by learning multithreading and parallel programming the right way. Any developer with basic Java knowledge (including Object-Oriented Programming), who wants to improve the performance of their applications by leveraging parallel programming, and who wants to learn multithreading from scratch can gain a lot from this course. Basic Java OOP knowledge (classes, interfaces, methods), IntelliJ IDEA, and Java 15 (JDK) are the only requirements to get started. About The Author Cosmin Ionita: Cosmin Ionita is a software engineer with over ten years of experience in developing enterprise-grade applications. He is based in Bucharest, Romania. He is a self-learner, truly passionate about technology, focused on gaining new skills, building outstanding professional relationships, and understanding the underlying concepts of the technologies he interacts with. His expertise revolves around JVM-based applications and surrounding systems (or techniques) for container management, deployment workflows, monitoring and alerting, performance optimization, code quality, resource efficiency, and many others.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 22, 2022)
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  • 47
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: User interfaces (Computer systems) ; Java (Computer program language) ; Open source software ; Application software Development ; User-Computer Interface ; Interfaces utilisateurs (Informatique) ; Java (Langage de programmation) ; Logiciels libres ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn the concepts with ease by following a step-by-step and maintaining a well-balanced approach of theoretical and practical content. About This Video A short, crisp, and complete course that covers rendering in React 18 Recorded on the latest version of React; shows and transitions Comes bundled with the code files and PPT uploaded on the GitHub repository In Detail Are you building React applications that sometimes render a bit slowly? Are you looking at React 18 concurrent rendering to speed things up? Or using React 17 and looking to upgrade your applications to React 18? Not sure what is new in React 18 and what you need to change? Or maybe you are wondering what the benefits of React 18 concurrent rendering are in the first place? In this course, you will learn all about the new concurrent rendering features in React 18. But why to stop there; after all, there is more to React 18 than just concurrent rendering. The author will show you the behavior changes you need to be aware of! This is a simple, crisp, and interactive course. You will see how easy it is to switch to concurrent rendering in your React application. You will learn all about concurrent rendering, , the startTransition() API, the useTransition() hook and more. By the end of this course, you will get to know the importance of concurrent rendering. Audience This course is for React developers looking to upgrade their applications to React 18 and developers wanting to understand how concurrent rendering can help fix performance problems. A basic understanding of React is required to follow along but not mandatory.
    Note: "Updated in February 2022.". - Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
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  • 48
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781803234021 , 1803234024
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Application software Development ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Understand JWT authentication and authorization and use it to secure your Spring Boot-based microservices. About This Video Learn various components and terminology associated with JWT Extract user information and role information from JWT Create security-related classes such as configuration, filters, services In Detail JWT (JSON web token) is a standard for securing APIs in a Microservices architecture; using this standard, we can secure APIs' built-in technology such as Nodejs, Python, .NET, and so on. But in this course, we will build APIs using Java and Spring Boot and then we will be securing them using JWT and Spring security. We will cover important concepts such as authentication, authorization, the importance of securing RESTful APIs, JWT (Json Web Token), various components and terminology associated with JWT, Workflow, and a diagrammatic use case of using JWT. Along the course, you will learn to implement JWT in our Spring Boot project by creating a Spring Boot project from scratch. We will add the required Maven dependencies and learn to set up projects in GitHub and follow a continuous integration process. You will also learn to create our Hibernate entity classes and start configuring JWT and Spring security. Moving further, we will configure the allowed and not allowed endpoints and create user registration and login endpoints. We will understand how to create role-based classes and create multiple roles as well as restrict users to functionalities based on roles. By the end of the course, you will learn to create security-related classes such as configuration, filters, and services, and learn to use Postman to test our APIs. Audience This course is for anyone who wants to learn about securing APIs at an industry-grade standard.
    Note: "Updated in August 2022.". - Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 49
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804613313 , 1804613312
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004/.36
    Keywords: Electronic data processing Distributed processing ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Be a part of a great course where you will be understanding distributed, scalable, fault-tolerance, and resilience systems along with building, designing, and implementing applications through these systems. About This Video Design and implement globally distributed, scalable, fault-tolerant, and resilience applications Understanding of common algorithms and techniques used in the majority of NoSQL databases and streaming platforms In-depth knowledge of Apache Cassandra, Apache Kafka, and ETCD In Detail A significant percentage of large-scale enterprises experience performance issues with their business-critical applications. Most of the production systems have been built on top of legacy, monolith technologies. The recent popularity of micro-services will not fulfill its promise of decoupled, scalable, and fault-tolerant systems, unless "done right". While entering the world of micro-services, engineers start building distributed applications, where robust remote procedure calls and cluster coordination are a must. You will look at various technologies, algorithms, and design patterns here. Some of them are Service Registry and Discovery, Service Mesh, Apache Cassandra ETCD (coordinator managing Kubernetes clusters), Apache Kafka, Idempotent service design, retry logic, Sharding, and Consistent Hashing, Client-side Load Balancing, Distributed Tracing, Canary Deployment, Sidecar Pattern, Circuit Breaker, and many more. Finally, you will also see the principles of various distributed systems designs; for example, master-less versus with leaders, poll-based versus push-based, immediate versus eventual consistency. After completing the course, learning new distributed database technology would be easier, because you will know the commonly reused techniques, including their pros and cons. Audience This course is designed for Java developers and architects who wish to broaden their knowledge of distributed computing, NoSQL databases, efficient RPC calls, messaging middleware, and cluster coordination. It is also recommended for anyone working in modern IT landscapes. The course may be a good recap for people preparing for systems design interviews. You will need proficiency in Java programming language, and an open mind to discover the challenges of distributed computing. Beginner-level knowledge in the Spring Boot framework will help you get along with the course easily.
    Note: "Updated in April 2022.". - Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 50
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804611845 , 1804611840
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 24 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Java (Computer program language) ; Application software Development ; Functional programming (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Delve deep into the exciting world of asynchronous programming, especially with JavaScript as your language of choice. About This Video Learn one of the most complex topics of programming with easy-to-understand examples and hands-on explanations Learn about callbacks and how you have been using them in your daily programming already Learn all about event loops and how JavaScript works behind the screen and how it executes asynchronous code In Detail JavaScript was not designed to be an asynchronous language, but with just the right tweaks, you can make it asynchronous. Asynchronous code helps you manage everything seamlessly while making sure that the data you are waiting for is used in your code ONLY after it has been completely fetched. In this course, you will learn every single concept of asynchronous JavaScript with easy-to-understand, over-the-shoulder examples and detailed, interesting explanations. You will learn all about event loops and how JavaScript works behind the screen and how it executes asynchronous code, about callbacks and their drawbacks, how promises replaced them and how Async Await made promises prettier. You will apply all of these in three real-world mini-projects as well. We will look at Async Await, an ES7 update, and how they have made promises look pretty. We will also look at resolving multiple promises at the same time using Async Await and error handling. By the end of this course, you will have a thorough understanding of how asynchronous programming works in JavaScript. Audience This course has been designed for JavaScript developers who want to take their knowledge to the next level; web developers who would like to add "asynchronous programming" to their resume and stand out in their job interviews; programmers and fledgling developers who would like to learn how real-world programming works; and front-end developers who are working with frameworks such as Angular, React, Vue, or Svelte and would like to apply asynchronous programming concepts in their projects. Some knowledge of JavaScript will be an added advantage to get through the course.
    Note: "Published in September 2022.". - Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 51
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781804618929 , 1804618926
    Language: English
    Pages: 1 online resource (1 video file (15 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: A course that will teach you every topic and concept of Java programming in detail, which will help you boost your coding skills. About This Video Learn the core Java skills needed to start your career as a Java developer Create multiple short projects along the way to gain confidence Learn industry best practices in Java software development from a professional Java developer In Detail Java programming language is very powerful and scalable and is used to create different software applications. The main reason many companies use Java is its popularity and usage in the industry. According to many official websites that track the popularity of languages, Java is either #1 or in the top 3. So, that means more companies and their staff are using it, so there are more career opportunities available for you if you are skilled in the language. You will start by understanding all the core OOPS concepts, what polymorphism and inheritance is, and apply them to your application. You will also learn all the essential Java keywords, operators, statements, loops, and expressions. You will understand how to download and install all the necessary coding tools and learn to perform code refactoring. Along the course, you will learn how to use different packages available. You will learn the concepts and usage of multithreading. Learn how to analyze logs and explore Java debugging techniques such as stack trace and breakpoints. You will also learn how to use the JUnit framework and implement Java design patterns. By the end of this course, you will have understood the building blocks of Java programming language. Audience This course is for software developers and programming enthusiasts. It is ideal for absolute beginners with no previous coding experience, for intermediates looking to sharpen their skills, for those who are looking to start/switch their career in Java, and for those looking to build a career in Big Data as Java is used in a lot of technologies.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 52
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781838556976
    Language: English
    Pages: 1 online resource (1 streaming video file (25 hr., 43 min., 56 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "Zero Java Programming Experience? No Problem. Do you want to take the first steps to Become a Great Java Programmer? Do you want to Learn Java Step By Step in a Fail Safe in 28 Minutes Way? Do you want to Learn to Write Great Java Programs? Java is one of the most popular programming languages. Java offers both object-oriented and functional programming features. We take a hands-on approach using a combination of JShell and Eclipse as an IDE to illustrate more than 200 Java Coding Exercises, Puzzles and Code Examples. This course assumes no previous (beginner) programming or Java experience. If you've never programmed a computer before, or if you already have experience with another programming language and want to quickly learn Java, this is a perfect course for you."--Resource description page.
    Note: Title from resource description page (viewed April 10, 2019)
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  • 53
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781838554972
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 49 min., 50 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Cryptography ; Computer security ; Data encryption (Computer science) ; Electronic videos ; local
    Abstract: "Security is paramount for any application. Cryptography occurs all across software fields: it protects all HTTPS traffic between browsers, encrypts phone storage against prying eyes, and can even hide files inside other files through a technique called steganography. This course is for developers looking to design a system that uses cryptography, rather than designing new algorithms. Most developers simply need to put the right pieces together to make their own system work. In this course, you will break down the concepts behind cryptography into simple lessons, covering terminology, algorithms, standards, and encryption/decryption techniques. We will also walk through how cryptographic systems are hacked to bypass (rather than break) their cryptographic capabilities."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 22, 2019)
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  • 54
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789953671
    Language: English
    Pages: 1 online resource (1 streaming video file (7 hr., 48 min., 20 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page.
    Note: Title from resource description page (Safari, viewed April 29, 2019)
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  • 55
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789803778
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 19 min., 25 sec.)) , digital, sound, color
    Keywords: Finance ; Data processing ; Finance ; Decision making ; Data processing ; Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "In this course, you'll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you'll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you'll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you'll learn how to find and test a few key modern machine learning models to pick up the best performing one. After finishing this course, you'll have a solid introduction to apply ML methods to financial data forecasting."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 10, 2019)
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  • 56
    ISBN: 9781789803198 , 1789803195
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Cognitive Toolkit ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals of Microsoft Cognitive Toolkit and set up the development environment Train different types of neural networks using Cognitive Toolkit and deploy it to production Evaluate the performance of your models and improve your deep learning skills Book Description Cognitive Toolkit is a very popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks, such as convolutional and recurrent neural networks. This book will help you understand the basics of deep learning. You will learn how to use Microsoft Cognitive Toolkit to build deep learning models and discover what makes this framework unique so that you know when to use it. This book will be a quick, no-nonsense introduction to the library and will teach you how to train different types of neural networks, such as convolutional neural networks, recurrent neural networks, autoencoders, and more, using Cognitive Toolkit. Then we will look at two scenarios in which deep learning can be used to enhance human capabilities. The book will also demonstrate how to evaluate your models' performance to ensure it trains and runs smoothly and gives you the most accurate results. Finally, you will get a short overview of how Cognitive Toolkit fits in to a DevOps environment What you will learn Set up your deep learning environment for the Cognitive Toolkit on Windows and Linux Pre-process and feed your data into neural networks Use neural networks to make effcient predictions and recommendations Train and deploy effcient neural networks such as CNN and RNN Detect problems in your neural network using TensorBoard Integrate Cognitive Toolkit with Azure ML Services for effective deep learning Who this book is for Data Scientists, Machine learning developers, AI developers who wish to train and deploy effective deep learning models using Microsoft CNTK will find this book to be useful. Readers need to have experience in Python or similar object-oriented language like C# or Java.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 57
    ISBN: 9781789134193 , 1789134196
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you'll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects. What you will learn Train a network on the 3D ShapeNet dataset to generate realistic shapes Generate anime characters using the Keras implementation of DCGAN Implement an SRGAN network to generate high-resolution images Train Age-cGAN on Wiki-Cropped images to improve face verification Use Conditional GANs for image-to-image translation Understand the generator and discriminator implementations of StackGAN in Keras Who this book is for If you're a data scientist, machine learning developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 58
    ISBN: 9781789133318 , 1789133319
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 59
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789954265
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 22 min., 47 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Web services ; Artificial intelligence ; Electronic videos ; local
    Abstract: "Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. "--Resource description page.
    Note: Title from resource description page (Safari, viewed March 27, 2019)
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  • 60
    ISBN: 9781789533347 , 1789533341
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Your one-stop guide to learning and implementing artificial neural networks with Keras effectively Key Features Design and create neural network architectures on different domains using Keras Integrate neural network models in your applications using this highly practical guide Get ready for the future of neural networks through transfer learning and predicting multi network models Book Description Neural networks are used to solve a wide range of problems in different areas of AI and deep learning. Hands-On Neural Networks with Keras will start with teaching you about the core concepts of neural networks. You will delve into combining different neural network models and work with real-world use cases, including computer vision, natural language understanding, synthetic data generation, and many more. Moving on, you will become well versed with convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, autoencoders, and generative adversarial networks (GANs) using real-world training datasets. We will examine how to use CNNs for image recognition, how to use reinforcement learning agents, and many more. We will dive into the specific architectures of various networks and then implement each of them in a hands-on manner using industry-grade frameworks. By the end of this book, you will be highly familiar with all prominent deep learning models and frameworks, and the options you have when applying deep learning to real-world scenarios and embedding artificial intelligence as the core fabric of your organization. What you will learn Understand the fundamental nature and workflow of predictive data modeling Explore how different types of visual and linguistic signals are processed by neural networks Dive into the mathematical and statistical ideas behind how networks learn from data Design and implement various neural networks such as CNNs, LSTMs, and GANs Use different architectures to tackle cognitive tasks and embed intelligence in systems Learn how to generate synthetic data and use augmentation strategies to improve your models Stay on top of the latest academic and commercial developments in the field of AI Who this book is for This book is for machine learning practitioners, deep learning researchers and AI enthusiasts who are looking to get well versed with different neural network architecture using Keras. Working knowledge of Python programming language is mandatory.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 61
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781838644772
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 35 min., 2 sec.)) , digital, sound, color
    Keywords: Computer games ; Programming ; Artificial intelligence ; JavaScript (Computer program language) ; Tic-tac-toe ; Electronic videos ; local
    Abstract: "Artificial intelligence & JavaScript 2D Game Development - MinMax algorithm - 'Computer vs You' Tic Tac Toe AI game"--Resource description page.
    Note: Title from resource description page (Safari, viewed April 22, 2019)
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  • 62
    ISBN: 9781789531251 , 178953125X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Java (Computer program language) ; Web applications ; Web services ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Master the art of implementing scalable and reactive microservices in your production environment with Java 11 Key Features Use domain-driven designs to build microservices Explore various microservices design patterns such as service discovery, registration, and API Gateway Use Kafka, Avro, and Spring Streams to implement event-based microservices Book Description Microservices are key to designing scalable, easy-to-maintain applications. This latest edition of Mastering Microservices with Java, works on Java 11. It covers a wide range of exciting new developments in the world of microservices, including microservices patterns, interprocess communication with gRPC, and service orchestration. This book will help you understand how to implement microservice-based systems from scratch. You'll start off by understanding the core concepts and framework, before focusing on the high-level design of large software projects. You'll then use Spring Security to secure microservices and test them effectively using REST Java clients and other tools. You will also gain experience of using the Netflix OSS suite, comprising the API Gateway, service discovery and registration, and Circuit Breaker. Additionally, you'll be introduced to the best patterns, practices, and common principles of microservice design that will help you to understand how to troubleshoot and debug the issues faced during development. By the end of this book, you'll have learned how to build smaller, lighter, and faster services that can be implemented easily in a production environment. What you will learn Use domain-driven designs to develop and implement microservices Understand how to implement microservices using Spring Boot Explore service orchestration and distributed transactions using the Sagas Discover interprocess communication using REpresentational State Transfer (REST) and events Gain knowledge of how to implement and design reactive microservices Deploy and test various microservices Who this book is for This book is designed for Java developers who are familiar with microservices architecture and now want to effectively implement microservices at an enterprise level. Basic knowledge and understanding of core microservice elements and applications is necessary.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 5, 2019)
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  • 63
    ISBN: 9781789349276 , 1789349273
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples show you how to implement different machine learning and deep learning techniques Book Description Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python. This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images. By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges. What you will learn Use cluster algorithms to identify and optimize natural groups of data Explore advanced non-linear and hierarchical clustering in action Soft label assignments for fuzzy c-means and Gaussian mixture models Detect anomalies through density estimation Perform principal component analysis using neural network models Create unsupervised models using GANs Who this book is for This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 64
    ISBN: 9781789347043 , 1789347041
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Mobile apps ; Application software ; Development ; Artificial intelligence ; Machine learning ; Mobile computing ; Electronic books ; Electronic books ; local
    Abstract: Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key Features Build practical, real-world AI projects on Android and iOS Implement tasks such as recognizing handwritten digits, sentiment analysis, and more Explore the core functions of machine learning, deep learning, and mobile vision Book Description We're witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learn Explore the concepts and fundamentals of AI, deep learning, and neural networks Implement use cases for machine vision and natural language processing Build an ML model to predict car damage using TensorFlow Deploy TensorFlow on mobile to convert speech to text Implement GAN to recognize hand-written digits Develop end-to-end mobile applications that use AI principles Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch Who this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 65
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789958386
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 18 min., 45 sec.)) , digital, sound, color
    Keywords: Machine learning ; Python (Computer program language) ; Artificial intelligence ; Electronic videos ; local
    Abstract: "You'll begin by learning how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithm over 1990 US Census dataset, to discover patterns and profiles, and explore the process to solve a supervised machine learning problem. Then, the focus of the course shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve performance of the algorithm by tuning hyperparameters. When it finishes, this course would have given you the skills and confidence to start programming machine learning algorithms."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 11, 2019)
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  • 66
    ISBN: 9781838552138 , 1838552138
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Neural networks (Computer science) ; Java (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Java and deep learning to build production-grade Computer Vision applications Key Features Build real-world Computer Vision applications using the power of neural networks Implement image classification, object detection, and face recognition Know best practices on effectively building and deploying deep learning models in Java Book Description Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning. The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The course is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models. By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy. What you will learn Discover neural Networks and their applications in Computer Vision Explore the popular Java frameworks and libraries for deep learning Build deep neural networks in Java Implement an end-to-end image classification application in Java Perform real-time video object detection using deep learning Enhance performance and deploy applications for production Who this book is for This book is for data scientists, machine learning developers and deep learning practitioners with Java knowledge who want to implement machine learning and deep neural networks in the computer vision domain. You will need to have a basic knowledge of Java programming.
    Note: Description based on online resource; title from title page (Safari, viewed April 2, 2019)
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  • 67
    ISBN: 9781788994866 , 1788994868
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Artificial intelligence ; Machine learning ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features A go-to guide to help you master AI algorithms and concepts 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn Build an intelligent machine translation system using seq-2-seq neural translation machines Create AI applications using GAN and deploy smart mobile apps using TensorFlow Translate videos into text using CNN and RNN Implement smart AI Chatbots, and integrate and extend them in several domains Create smart reinforcement, learning-based applications using Q-Learning Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is w...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 68
    ISBN: 9781788998819 , 1788998812
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Data structures (Computer science) ; Computer algorithms ; Java (Computer program language) ; Mobile apps ; Electronic books ; Electronic books ; local
    Abstract: Understand and solve complex computational problems and write efficient code with Kotlin Key Features Learn about important data structures such as lists, arrays, queues, and stacks Design custom algorithms for real-life implementations Identify suitable tools for different scenarios and deliver immediate results Book Description Data structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory. Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally. By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems. What you will learn Understand the basic principles of algorithms and data structures Explore general-purpose data structures with arrays and linked lists Get to grips with the basics of stacks, queues, and double-ended queues Understand functional programming and related data structures Use performant searching and efficient sorting Uncover how Kotlin's collection framework functions Become adept at implementing different types of maps Who this book is for If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
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  • 69
    ISBN: 9781788832762 , 1788832760
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Internet of things ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Build smarter systems by combining artificial intelligence and the Internet of Things - two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how po...
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 70
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781838558048
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 4 min., 39 sec.)) , digital, sound, color
    Keywords: Application software ; Development ; Application program interfaces (Computer software) ; Java (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "RPC is a new and modern framework for building scalable, modern, and fast APIs. It is leveraged by many top tech companies such as Google, Square, and Netflix and enables programmers to write microservices in any language they want while keeping the ability to easily communicate between these services. It relies on protocol buffers as the transport mechanism and the Service Definition Language. gRPC (Java) Master Class: Build Modern APIs and Microservices is the best way to get a great overview of all the possibilities offered by gRPC with your favourite language. "--Resource description page.
    Note: Title from resource description page (Safari, viewed March 13, 2019)
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  • 71
    ISBN: 9781789349702 , 1789349702
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understandi...
    Note: Description based on online resource; title from title page (Safari, viewed February 15, 2019)
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  • 72
    ISBN: 9781789533446 , 1789533449
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: TensorFlow ; Reinforcement learning ; Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key Features Explore efficient Reinforcement Learning algorithms and code them using TensorFlow and Python Train Reinforcement Learning agents for problems, ranging from computer games to autonomous driving. Formulate and devise selective algorithms and techniques in your applications in no time. Book Description Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving. The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator. By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems. What you will learn Understand the theory and concepts behind modern Reinforcement Learning algorithms Code state-of-the-art Reinforcement Learning algorithms with discrete or continuous actions Develop Reinforcement Learning algorithms and apply them to training agents to play computer games Explore DQN, DDQN, and Dueling architectures to play Atari's Breakout using TensorFlow Use A3C to play CartPole and LunarLander Train an agent to drive a car autonomously in a simulator Who this book is for Data scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 73
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781838646189
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 37 min., 45 sec.)) , digital, sound, color
    Keywords: Spring (Software framework) ; Telecommunication ; Message processing ; Queuing networks (Data transmission) ; Java (Computer program language) ; Electronic videos ; local
    Abstract: "This course will walk you through the beginning from scratch - messaging itself! We'll discover what messaging means and how it affects our architectural decisions and design considerations. Next, we will study about Advanced Message Queueing Protocol (AMQP). We'll discover the benefits and reasons behind the popularity of AMQP and how it has shaped the architecture of RabbitMQ from messaging concepts to client platforms making use of it. We'll learn Queues, Exchanges, Bindings, Routings, Publishers, Subscribers, and more about RabbitMQ!. We'll install all the necessary software for RabbitMQ and have it up and running on our machines - both on Windows and MacOS. We'll see and learn how RabbitMQ Dashboard helps us easily monitor and manage our RabbitMQ server and send our first ever message to RabbitMQ! RabbitMQ is the most widely-deployed open-source message broker or messaging middleware in other terms. RabbitMQ is lightweight and easy to deploy on premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments. It also provides a wide range of developer tools for most popular languages."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 3, 2019)
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  • 74
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789809206 , 1789809207
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
    Note: Description based on online resource; title from copyright page (Safari, viewed February 11, 2019)
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  • 75
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789613209
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 15 min., 52 sec.)) , digital, sound, color
    Keywords: Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with innovations like self-driving cars, medical diagnosis and even beating humans at strategy games like Go and Chess. The future for AI is extremely promising and it isn't far from when we have our own robotic companions. This has pushed a lot of developers to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn't easy and requires extensive programming and mathematical knowledge. Mathematics plays an important role as it builds the foundation for programming for these two streams. And in this course, we've covered exactly that. We designed a complete course to help you master the mathematical foundation required for writing programs and algorithms for AI and ML."--Resource description page.
    Note: Title from resource description page (Safari, viewed August 16, 2018)
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  • 76
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789611960
    Language: English
    Pages: 1 online resource (1 streaming video file (7 hr., 59 min., 2 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Java (Computer program language) ; Object-oriented programming (Computer science) ; Electronic videos ; local
    Abstract: "This course will help you learn Python, one of the most popular programming languages. Python offers both object oriented and structural programming features. We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 100 Python coding exercises, puzzles, and code examples. We convert a number of Java examples to Python. You will learn about implementing Object Oriented Programming concepts in Python, inheritance, abstract classes, and constructors; you will also get a better understanding of a wide variety of Python data structures: lists, sets, dictionaries, and tuples."--Resource description page.
    Note: Title from resource description page (Safari, viewed September 20, 2018)
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  • 77
    ISBN: 9781789612479 , 1789612470
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Application software ; Development ; Machine learning ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
    Note: Description based on online resource; title from title page (Safari, viewed October 8, 2018)
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  • 78
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789346077
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 55 min., 24 sec.)) , digital, sound, color
    Keywords: Spring (Software framework) ; Java (Computer program language) ; Application software ; Development ; Electronic videos ; local ; Electronic videos
    Abstract: "Spring Boot is the most popular framework to develop RESTful services. It has awesome unit testing capabilities through Spring Boot Starter Test. Mockito is the most popular mocking framework. JUnit is the most popular Java unit testing framework. You will build the unit tests step by step - in 40 easy steps. This course would be a perfect first step as an introduction to unit testing with the Spring Boot and Mockito frameworks. You will be using Spring (dependency management), Spring Boot, Maven (dependencies management), Eclipse (IDE), in memory database H2 and Tomcat embedded web server. We will help you set up each one of these. You will use all the frameworks that are part of the Spring Boot Starter Test - JUnit, Spring Test, Spring Boot Test, AssertJ, Hamcrest, Mockito, JSONassert and JsonPath."--Resource description page.
    Note: Title from resource description page (Safari, viewed June 18, 2018)
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  • 79
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789340648
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 5 min., 20 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Application software ; Development ; Computer software ; Testing ; Electronic videos ; local ; Electronic videos
    Abstract: "JUnit is a unit testing framework for the Java programming language. JUnit has been important in the development of test-driven development and is one of a family of unit testing frameworks which is collectively known as xUnit frameworks."--Resource description page.
    Note: Title from resource description page (Safari, viewed June 18, 2018)
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  • 80
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789137194
    Language: English
    Pages: 1 online resource (1 streaming video file (35 hr., 59 min., 2 sec.)) , digital, sound, color
    Keywords: Selenium (Software framework) ; Application software ; Testing ; Web applications ; Java (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "This course includes a wide range of basic and advanced topics from Selenium WebDriver; Java concepts TestNG framework; automation framework design (page objects, page factory, data-driven, reading Excel files); logging with Log4j, best reporting tool - Advanced Reporting; cross-browser testing with Selenium Grid 2.0; Maven build management; continuous integration with Jenkins; Git integration with Jenkins; database testing; performance testing; behavior- driven testing using Cucumber; Sauce labs integration and interview preparation. All materials are provided including code files. This is your one stop shop to become an expert in web automation framework related technologies from scratch. We start from beginners level and go through to advanced level. This is a single course for everything you need to know related to Web UI Automation. We assume that students have no experience in automation/coding and start every topic from scratch and basics. Examples are taken from testing real-time hosted web applications to understand how different components can be automated, and will give you an idea of the industry level framework confidence to use them. No prior coding or automation experience needed, this course covers all the necessary topics. We start with how to code in Java and then move towards learning Selenium, TestNG, Selenium grid, log4j, Maven, Jenkins, database testing, performance testing, and behavior-driven testing using Cucumber and Gherkin languages."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 25, 2019)
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  • 81
    ISBN: 9781789136340 , 1789136342
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Application software ; Development ; Application program interfaces (Computer software) ; Electronic books ; Electronic books ; local
    Abstract: Discover how project Reactor enhances the reactive programming paradigm and allows you to build scalable asynchronous applications Key Features Use reactive APIs, Flux, and Mono to implement reactive extensions Create concurrent applications without the complexity of Java's concurrent API Understand techniques to implement event-driven and reactive applications Book Description Reactor is an implementation of the Java 9 Reactive Streams specification, an API for asynchronous data processing. This specification is based on a reactive programming paradigm, enabling developers to build enterprise-grade, robust applications with reduced complexity and in less time. Hands-On Reactive Programming with Reactor shows you how Reactor works, as well as how to use it to develop reactive applications in Java. The book begins with the fundamentals of Reactor and the role it plays in building effective applications. You will learn how to build fully non-blocking applications and will later be guided by the Publisher and Subscriber APIs. You will gain an understanding how to use two reactive composable APIs, Flux and Mono, which are used extensively to implement Reactive Extensions. All of these components are combined using various operations to build a complete solution. In addition to this, you will get to grips with the Flow API and understand backpressure in order to control overruns. You will also study the use of Spring WebFlux, an extension of the Reactor framework for building microservices. By the end of the book, you will have gained enough confidence to build reactive and scalable microservices. What you will learn Explore benefits of the Reactive paradigm and the Reactive Streams API Discover the impact of Flux and Mono implications in Reactor Expand and repeat data in stream processing Get to grips with various types of processors and choose the best one Understand how to map errors to make corrections easier Create robust tests using testing utilities offered by Reactor Find the best way to schedule the execution of code Who this book is for If you're looking to develop event- and data-driven applications easily with Reactor, this book is for you. Sound knowledge of Java fundamentals is necessary to understand the concepts covered in the book. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewher...
    Note: Description based on online resource; title from title page (viewed November 2, 2018)
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  • 82
    ISBN: 9781789130270 , 1789130271
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Windows Azure ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key Features Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture Explore ML Server using SQL Server and HDInsight capabilities Implement various tools in Azure to build and deploy machine learning models Book Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft's Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you'll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models. What you will learn Discover the benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from Microsoft and deploy it as a web service Deploy virtual machines in AI development scenarios Apply R, Python, SQL Server, and Spark in Azure Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow Implement model retraining in IoT, Streaming, and Blockchain solutions Explore best practices for integrating ML and AI functions with ADLA and logic apps Who this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You'll also find this book useful if you want to bring powerful mach...
    Note: Includes bibliographical references. . - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
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  • 83
    ISBN: 9781789130690 , 1789130697
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Java (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Learn how to build scalable, resilient, and effective applications in Java that suit your software requirements. Key Features Explore advanced technologies that Java 11 delivers such as web programming and parallel computing Discover modern programming paradigms such as microservices, cloud computing and enterprise structures Build highly responsive applications with this practical introduction to Reactive programming Book Description Java is one of the most commonly used software languages by programmers and developers. In this book, you'll learn the new features of Java 11 quickly and experience a simple and powerful approach to software development. You'll see how to use the Java runtime tools, understand the Java environment, and create a simple namesorting Java application. Further on, you'll learn about advanced technologies that Java delivers, such as web programming and parallel computing, and will develop a mastermind game. Moving on, we provide more simple examples, to build a foundation before diving into some complex data structure problems that will solidify your Java 11 skills. With a special focus on the features of new projects: Project Valhalla, Project Panama, Project Amber, and Project Loom, this book will help you get employed as a top-notch Java developer. By the end of the book, you'll have a firm foundation to continue your journey toward becoming a professional Java developer. What you will learn Compile, package, and run a program using a build management tool Get to know the principles of test-driven development Separate the wiring of multiple modules from application logic Use Java annotations for configuration Master the scripting API built into the Java language Understand static versus dynamic implementation of code Who this book is for This book is for anyone who wants to learn the Java programming language. No programming experience required. If you have prior experience, it will help you through the book more easily. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed June 12, 2019)
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  • 84
    ISBN: 9781789132823 , 1789132827
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals of Convolutional Neural Networks Harness Python and Tensorflow to train CNNs Build scalable deep learning models that can process millions of items Book Description Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time! We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation. After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks. Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learn Train machine learning models with TensorFlow Create systems that can evolve and scale during their life cycle Use CNNs in image recognition and classification Use TensorFlow for building deep learning models Train popular deep learning models Fine-tune a neural network to improve the quality of results with transfer learning Build TensorFlow models that can scale to large datasets and systems Who this book is for This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
    Note: Description based on online resource; title from title page (Safari, viewed October 5, 2018)
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  • 85
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789130027
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 52 min., 20 sec.)) , digital, sound, color
    Keywords: Apache Maven ; Apache Tomcat ; Java (Computer program language) ; Application software ; Development ; Electronic videos ; local
    Abstract: "Maven is the most popular Java dependency management tool. In this hands-on course, you will understand how Maven makes the life of a Java developer easier. We will use a step-by-step approach with 20 steps. During the course, you will automate these using Maven. You will compile Java, code, run unit tests, build jars and wars, run web applications in Tomcat, and setup new projects."--Resource description page.
    Note: Title from resource description page (Safari, viewed May 22, 2018)
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  • 86
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781788994576
    Language: English
    Pages: 1 online resource (1 streaming video file (12 hr., 3 min., 10 sec.)) , digital, sound, color
    Keywords: Spring (Software framework) ; Application program interfaces (Computer software) ; Aspect-oriented programming ; Java (Computer program language) ; XML (Document markup language) ; Database design ; Electronic videos ; local ; Electronic videos
    Abstract: "Learn the magic of the Spring framework from IOC (Inversion of Control), DI (Dependency Injection), and Application Context, to the world of Spring Boot, AOP, JDBC and JPA. Get set for an incredible journey. In this course, you will learn the features of the Spring and Spring Modules: JDBC, AOP, Data JPA with a hands-on, step-by step-approach. You will be introduced to Spring Boot, Unit Testing with JUnit and Mockito, talking to the database with Spring JDBC and JPA, Maven (dependencies management), Eclipse (IDE), and the Tomcat Embedded Web Server. We will help you set up each one of these. You will learn step-by-step about Spring in more than 100 steps. This course would be a perfect first step as an introduction to Spring."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 18, 2018). - "In 28 minutes"--Title screen
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  • 87
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781788994330
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 20 min., 36 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Application program interfaces (Computer software) ; Java (Computer program language) ; Electronic videos ; local
    Abstract: "This course covers all the fundamentals of Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will have gained an in-depth knowledge pf Apache Spark, general big data analysis and manipulations skills. With these new skills you'll be able to help your company to adapt Apache Spark for building a big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge on how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom, and much more."--Resource description page.
    Note: Title from resource description page (Safari, viewed May 8, 2018)
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  • 88
    ISBN: 9781788992268 , 1788992261
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key Features Enter the world of AI with the help of solid concepts and real-world use cases Explore AI components to build real-world automated intelligence Become well versed with machine learning and deep learning concepts Book Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learn Use TensorFlow packages to create AI systems Build feedforward, convolutional, and recurrent neural networks Implement generative models for text generation Build reinforcement learning algorithms to play games Assemble RNNs, CNNs, and decoders to create an intelligent assistant Utilize RNNs to predict stock market behavior Create and scale training pipelines and deployment architectures for AI systems Who this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
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  • 89
    ISBN: 9781788835138 , 1788835131
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Machine learning ; Reinforcement learning ; Electronic books ; Electronic books ; local
    Abstract: Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks Implement agents to solve simple to complex AI problems Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcement learning Discover deep Q learning agents to solve discrete optimal control tasks Create custom learning environments for real-world problems Apply a deep actor-critic agent to drive a car autonomously in CARLA Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you're a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working kn...
    Note: Description based on online resource; title from title page (Safari, viewed August 27, 2018)
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  • 90
    ISBN: 9781789951721 , 1789951720
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key Features Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and more Build, deploy, and scale end-to-end deep neural network models in a production environment Book Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe Bonaccorso Mastering TensorFlow 1.x by Armando Fandango Deep Learning for Computer Vision by Rajalingappaa Shanmugamani What you will learn Explore how an ML model can be trained, optimized, and evaluated Work with Autoencoders and Generative Adversarial Networks Explore the most important Reinforcement Learning techniques Build end-to-end deep learning (CNN, RNN, and Autoencoders) models Who this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some un...
    Note: Description based on online resource; title from cover (Safari, viewed February 22, 2019)
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  • 91
    ISBN: 9781788392228 , 1788392221
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Middleware ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Use Java features such as JAX-RS, EJBs, and JPAs to build powerful middleware for newer architectures such as the cloud About This Book Explore EJBs to build middleware solutions for enterprise and distributed applications Understand middleware designs such as event-based and message-driven web services Learn to design and maintain large-scale systems and vendor disputes Who This Book Is For Enterprise architects, designers, developers, and programmers who are interested in learning how to build robust middleware solutions for enterprise software will find this book useful. Prior knowledge of Java EE is essential What You Will Learn Implement the latest Java EE 8 APIs and manage dependencies with CDI 2.0 Perform CRUD operations and access databases with JPA 2.1 Use bean validation API 2.0 to validate data Develop business logic with EJB 3.2 Incorporate the REST architecture and RESTful API design patterns Perform serialization and deserialization on JSON documents using JSON-B Utilize JMS for messaging and queuing models and securing applications Test applications using JUnit and Mockito and deploy them using Docker In Detail Middleware is the infrastructure in software based applications that enables businesses to solve problems, operate more efficiently, and make money. As the use of middleware extends beyond a single application, the importance of having it written by experts increases substantially. This book will help you become an expert in developing middleware for a variety of applications. The book starts off by exploring the latest Java EE 8 APIs with newer features and managing dependencies with CDI 2.0. You will learn to implement object-to-relational mapping using JPA 2.1 and validate data using bean validation. You will also work with different types of EJB to develop business logic, and with design RESTful APIs by utilizing different HTTP methods and activating JAX-RS features in enterprise applications. You will learn to secure your middleware with Java Security 1.0 and implement various authentication techniques, such as OAuth authentication. In the concluding chapters, you will use various test technologies, such as JUnit and Mockito, to test applications, and Docker to deploy your enterprise applications. By the end of the book, you will be proficient in developing robust, effective, and distributed middleware for your business. Style and approach Learn how to design and implement professional enterprise middleware solutions...
    Note: Description based on online resource; title from title page (Safari, viewed July 30, 2018)
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  • 92
    ISBN: 9781788629331 , 1788629337 , 9781788625449
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    DDC: 005.133
    Keywords: Markov processes Numerical solutions ; Python (Computer program language) ; Machine learning ; Natural language processing (Computer science) ; Artificial intelligence ; Neural networks & fuzzy systems ; Natural language & machine translation ; Computers ; Intelligence (AI) & Semantics ; Computers ; Neural Networks ; Computers ; Natural Language Processing ; Machine learning ; Markov processes ; Numerical solutions ; Natural language processing (Computer science) ; Python (Computer program language) ; Electronic books
    Note: Online resource; title from title page (Safari, viewed November 2, 2018)
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  • 93
    ISBN: 9781789803686 , 1789803683
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Microsoft Visual studio ; Application program interfaces (Computer software) ; Artificial intelligence ; Machine learning ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Build smarter applications with AI capabilities using Microsoft Cognitive Services APIs without much hassle Key Features Explore the Cognitive Services APIs for building machine learning applications Build applications with computer vision, speech recognition, and language processing capabilities Learn to implement human-like cognitive intelligence for your applications Book Description Microsoft Cognitive Services is a set of APIs for adding intelligence to your application and leverage the power of AI to solve any business problem using the cognitive capabilities. This book will be your practical guide to working with cognitive APIs developed by Microsoft and provided with the Azure platform to developers and businesses. You will learn to integrate the APIs with your applications in Visual Studio. The book introduces you to about 24 APIs including Emotion, Language, Vision, Speech, Knowledge, and Search among others. With the easy-to-follow examples you will be able to develop applications for image processing, speech recognition, text procession, and so on to enhance the capability of your applications to perform more human-like tasks. Going ahead, the book will help you work with the datasets that enable your applications to process various data in form of image, videos, and texts. By the end of the book, you will get confident to explore the Cognitive Services APIs for your applications and make them intelligent for deploying in businesses. What you will learn Identify a person through visual and audio inspection Reduce user effort by utilizing AI-like capabilities Understand how to analyze images and texts in different ways Analyze images using Vision APIs Add video analysis to applications using Vision APIs Utilize Search to find anything you want Analyze text to extract information and explore text structure Who this book is for Learning Microsoft Cognitive Services is for developers and machine learning enthusiasts who want to get started with building intelligent applications without much programming knowledge. Some prior knowledge of .NET and Visual Studio will help you undertake the tasks explained in this book.
    Note: Includes index. - Description based on online resource; title from cover (viewed November 6, 2018)
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  • 94
    ISBN: 9781789531039 , 1789531039
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Android (Electronic resource) ; Application software ; Development ; Java (Computer program language) ; Mobile apps ; Electronic books ; Electronic books ; local
    Abstract: Learn all the Java and Android skills you need to start making powerful mobile applications with practical and actionable steps Key Features Kick-start your Android programming career, or just have fun publishing apps to the Google Play marketplace A first-principles introduction to Java, via Android, which means you'll be able to start building your own applications from scratch Learn by example and build four real-world apps and dozens of mini-apps throughout the book Book Description Are you trying to start a career in programming, but haven't found the right way in? Do you have a great idea for an app, but don't know how to make it a reality? Or maybe you're just frustrated that in order to learn Android, you must know Java. If so, then this book is for you. This new and expanded second edition of Android Programming for Beginners will be your companion to create Android Pie applications from scratch. We will introduce you to all the fundamental concepts of programming in an Android context, from the basics of Java to working with the Android API. All examples use the up-to-date API classes, and are created from within Android Studio, the official Android development environment that helps supercharge your application development process. After this crash course, we'll dive deeper into Android programming and you'll learn how to create applications with a professional-standard UI through fragments and store your user's data with SQLite. In addition, you'll see how to make your apps multilingual, draw to the screen with a finger, and work with graphics, sound, and animations too. By the end of this book, you'll be ready to start building your own custom applications in Android and Java. What you will learn Master the fundamentals of coding Java for Android Pie Install and set up your Android development environment Build functional user interfaces with the Android Studio visual designer Add user interaction, data captures, sound, and animation to your apps Manage your apps' data using the built-in Android SQLite database Find out about the design patterns used by professionals to make top-grade applications Build, deploy, and publish real Android applications to the Google Play marketplace Who this book is for This book is for you if you are completely new to Java, Android, or programming and want to make Android applications. This book also acts as a refresher for those who already have experience of using Java on Android to advance their ...
    Note: Previous edition published: 2015. - Description based on online resource; title from cover (Safari, viewed December 12, 2018)
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  • 95
    ISBN: 9781788290258 , 1788290259
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Web applications ; Java (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: A practical guide for building effective enterprise solutions with Java EE 8 About This Book Recipes to get you up-and-running with Java EE 8 application development Learn how to apply the major Java EE 8 APIs and specifications Implement microservices and Reactive programming with Java EE 8 Who This Book Is For This book is for developers who want to become proficient with Java EE 8 for their enterprise application development. Basic knowledge of Java is assumed What You Will Learn Actionable information on the new features of Java EE 8 Using the most important APIs with real and working code Building server side applications, web services, and web applications Deploying and managing your application using the most important Java EE servers Building and deploying microservices using Java EE 8 Building Reactive application by joining Java EE APIs and core Java features Moving your application to the cloud using containers Practical ways to improve your projects and career through community involvement In Detail Java EE is a collection of technologies and APIs to support Enterprise Application development. The choice of what to use and when can be dauntingly complex for any developer. This book will help you master this. Packed with easy to follow recipes, this is your guide to becoming productive with Java EE 8. You will begin by seeing the latest features of Java EE 8, including major Java EE 8 APIs and specifications such as JSF 2.3, and CDI 2.0, and what they mean for you. You will use the new features of Java EE 8 to implement web-based services for your client applications. You will then learn to process the Model and Streaming APIs using JSON-P and JSON-B and will learn to use the Java Lambdas support offered in JSON-P. There are more recipes to fine-tune your RESTful development, and you will learn about the Reactive enhancements offered by the JAX-RS 2.1 specification. Later on, you will learn about the role of multithreading in your enterprise applications and how to integrate them for transaction handling. This is followed by implementing microservices with Java EE and the advancements made by Java EE for cloud computing. The final set of recipes shows you how take advantage of the latest security features and authenticate your enterprise application. At the end of the book, the Appendix shows you how knowledge sharing can change your career and your life. Style and approach Task based learning guide to help ease application developm...
    Note: Description based on online resource; title from title page (Safari, viewed May 11, 2018)
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  • 96
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789958195 , 1789958199
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Expert insight
    Keywords: Python (Computer program language) ; Machine learning ; Artificial intelligence ; Electronic data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features Bridge your data analysis with the power of programming, complex algorithms, and AI Use Python and its extensive libraries to power your way to new levels of data insight Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series Explore this modern approach across with key industry case studies and hands-on projects Book Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you're likely to meet in today. The first of these is an image recognition application with TensorFlow ? embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learn A new toolset that has been carefully crafted to meet for your data analysis challenges Full and detailed case studies of the toolset across several of today's key industry contexts Become super productive with a new toolset across Python and Jupyter Notebook Look into the future of data science an...
    Note: Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed February 26, 2019)
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  • 97
    ISBN: 9781788831833 , 1788831837
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition, fully revised and updated.
    Keywords: Machine learning ; Artificial intelligence ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow. About This Book Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide Gain real-world contextualization through some deep learning problems concerning research and application Who This Book Is For The book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus. What You Will Learn Apply deep machine intelligence and GPU computing with TensorFlow Access public datasets and use TensorFlow to load, process, and transform the data Discover how to use the high-level TensorFlow API to build more powerful applications Use deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applications In Detail Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks. This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. Throughout the book, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way. You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects. Style and approach This step-by-step guide explores common, and not so common, deep neural networks, and shows ho...
    Note: Includes index. - Description based on online resource; title from cover (Safari, viewed May 8, 2018)
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  • 98
    ISBN: 9781788624534 , 178862453X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Machine learning ; Python (Computer program language) ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide to advanced deep learning techniques, including Autoencoders, GANs, VAEs, and Deep Reinforcement Learning, that drive today's most impressive AI results Key Features Explore the most advanced deep learning techniques that drive modern AI results Implement Deep Neural Networks, Autoencoders, GANs, VAEs, and Deep Reinforcement Learning A wide study of GANs, including Improved GANs, Cross-Domain GANs and Disentangled Representation GANs Book Description Recent developments in deep learning, including GANs, Variational Autoencoders, and Deep Reinforcement Learning, are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today, so you can create your own cutting-edge AI. Using Keras as an open-source deep learning library, you'll find hands-on projects throughout that show you how to create more effective AI with the latest techniques. The journey begins with an overview of MLPs, CNNs, and RNNs, which are the building blocks for the more advanced techniques in the book. You'll learn how to implement deep learning models with Keras and Tensorflow, and move forwards to advanced techniques, as you explore deep neural network architectures, including ResNet and DenseNet, and how to create Autoencoders. You then learn all about Generative Adversarial Networks (GANs), and how they can open new levels of AI performance. Variational AutoEncoders (VAEs) are implemented, and you'll see how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans - a major stride forward for modern AI. To complete this set of advanced techniques, you'll learn how to implement Deep Reinforcement Learning (DRL) such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learn Cutting-edge techniques in human-like AI performance Implement advanced deep learning models using Keras The building blocks for advanced techniques - MLPs, CNNs, and RNNs Deep neural networks ? ResNet and DenseNet Autoencoders and Variational AutoEncoders (VAEs) Generative Adversarial Networks (GANs) and creative AI techniques Disentangled Representation GANs, and Cross-Domain GANs Deep Reinforcement Learning (DRL) meth...
    Note: "Expert insight.". - Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed December 10, 2018)
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  • 99
    ISBN: 9781788623087 , 1788623088
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of deep learning and Keras to develop smarter and more efficient data models Key Features Understand different neural networks and their implementation using Keras Explore recipes for training and fine-tuning your neural network models Put your deep learning knowledge to practice with real-world use-cases, tips, and tricks Book Description Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. From loading data to fitting and evaluating your model for optimal performance, you will work through a step-by-step process to tackle every possible problem faced while training deep models. You will implement convolutional and recurrent neural networks, adversarial networks, and more with the help of this handy guide. In addition to this, you will learn how to train these models for real-world image and language processing tasks. By the end of this book, you will have a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning What you will learn Install and configure Keras in TensorFlow Master neural network programming using the Keras library Understand the different Keras layers Use Keras to implement simple feed-forward neural networks, CNNs and RNNs Work with various datasets and models used for image and text classification Develop text summarization and reinforcement learning models using Keras Who this book is for Keras Deep Learning Cookbook is for you if you are a data scientist or machine learning expert who wants to find practical solutions to common problems encountered while training deep learning models. A basic understanding of Python and some experience in machine learning and neural networks is required for this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
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  • 100
    ISBN: 9781786469014 , 1786469014
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Software patterns ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Create various design patterns to master the art of solving problems using Java About This Book This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner All the design patterns come with a practical use case as part of the explanation, which will improve your productivity Tackle all kinds of performance-related issues and streamline your development Who This Book Is For This book is for those who are familiar with Java development and want to be in the driver's seat when it comes to modern development techniques. Basic OOP Java programming experience and elementary familiarity with Java is expected. What You Will Learn Understand the OOP and FP paradigms Explore the traditional Java design patterns Get to know the new functional features of Java See how design patterns are changed and affected by the new features Discover what reactive programming is and why is it the natural augmentation of FP Work with reactive design patterns and find the best ways to solve common problems using them See the latest trends in architecture and the shift from MVC to serverless applications Use best practices when working with the new features In Detail Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java's functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable w...
    Note: Description based on online resource; title from title page (Safari, viewed July 24, 2018)
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