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  • [Erscheinungsort nicht ermittelbar] : IntechOpen  (98)
  • [Place of publication not identified] : Packt Publishing  (47)
  • Birmingham, AL, USA : EBSCO Industries, Inc.
  • Oxford [u.a.] : Oxford Univ. Press
  • Artificial intelligence  (145)
Datasource
Material
Language
Years
  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781837692958 , 9781837692941 , 9781837692965
    Language: Undetermined
    Pages: 1 Online-Ressource (100 p.)
    Series Statement: Artificial Intelligence 23
    Keywords: Artificial intelligence
    Abstract: In this edition of Genetic Algorithms - Theory, Design and Programming, we present a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). Beyond the academic realm, GAs have demonstrated profound applications in societal decision-making and engineering optimization, showcased through real-world examples and case studies. A dedicated section on programming principles offers a thorough guide for implementing GAs across diverse languages. This edition, tailored for researchers and academics, serves as a testament to the scientific advancements within the field, inviting readers to explore the nuanced journey from theoretical constructs to pragmatic applications in the dynamic landscape of GAs
    Note: English
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  • 7
    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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  • 8
    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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  • 9
    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].
    Series Statement: Academic Video Online
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Deep learning (Machine learning) ; Convolutions (Mathematics) ; Nonfiction films ; Internet videos ; Instructional films ; Apprentissage profond ; Convolutions (Mathématiques) ; Apprentissage automatique ; Intelligence artificielle ; artificial intelligence ; Artificial intelligence ; Convolutions (Mathematics) ; Deep learning (Machine learning) ; Machine learning ; Neural networks (Computer science) ; Réseaux neuronaux (Informatique) ; Instructional films ; Films de formation
    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) , In English.
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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    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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  • 14
    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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  • 15
    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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  • 16
    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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  • 17
    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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  • 18
    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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  • 19
    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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  • 20
    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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  • 21
    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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  • 22
    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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  • 23
    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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  • 24
    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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  • 25
    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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  • 26
    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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  • 27
    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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  • 28
    ISBN: 9781803569185 , 9781803569178 , 9781803569192
    Language: Undetermined
    Pages: 1 Online-Ressource (138 p.)
    Keywords: Artificial intelligence
    Abstract: Ontology is a formal characteristic and an entity of perception and concept. The characteristic of an ontology is the formal description of a set of terms and the relationships between them, which is obtained with a special language and in a file that can be understood by computers. Ontologies could be employed in several domains, such as global semantic networks, search engines, electronic commerce, natural language processing, knowledge engineering, information extraction and retrieval, multi-agent systems, qualitative modeling of physical systems, database design, information systems, and geographic and digital libraries. This book presents the latest advances and new visions in the field of ontology in information science
    Note: English
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  • 29
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781803563428 , 9781803563411 , 9781803563435
    Language: Undetermined
    Pages: 1 Online-Ressource (176 p.)
    Keywords: Artificial intelligence
    Abstract: The development of new technologies based on artificial intelligence and computer vision, together with the possibility of connecting different devices together in real-time, has enabled the development and progress of intelligent video surveillance. Thanks to IoT technologies, high-resolution cameras can be networked to monitor their territory, collect recordings and have them analyzed by artificial intelligence systems trained to identify critical situations. This book discusses new achievements in intelligent video surveillance solutions and their future prospects
    Note: English
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  • 30
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781837680870 , 9781837680863 , 9781837680887
    Language: Undetermined
    Pages: 1 Online-Ressource (196 p.)
    Series Statement: Artificial Intelligence 15
    Keywords: Artificial intelligence
    Abstract: Artificial intelligence (AI) has attracted the attention of many and is taking an increasingly crucial role in our modern society. AI machines demonstrate advanced cognitive skills in making decisions, learning, perceiving the environment, predicting certain behavior, and processing written or spoken languages, among other skills. In tandem with AI, “swarm intelligence” is being used to solve complex problems that are beyond the reasoning and problem-solving abilities of humans. This book discusses both AI and swarm intelligence, including their theoretical backgrounds and applications
    Note: English
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  • 31
    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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  • 32
    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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  • 33
    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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  • 34
    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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  • 35
    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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  • 36
    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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  • 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: 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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  • 39
    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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  • 40
    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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  • 41
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781839686900 , 9781839686894 , 9781839686917
    Language: Undetermined
    Pages: 1 Online-Ressource (234 p.)
    Keywords: Artificial intelligence
    Abstract: The evolution of emerging and innovative technologies based on Industry 4.0 concepts are transforming society and industry into a fully digitized and networked globe. Sensing, communications, and computing embedded with ambient intelligence are at the heart of the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Industry 4.0 technologies with expanding applications in manufacturing, transportation, health, building automation, agriculture, and the environment. It is expected that the emerging technology clusters of ambient intelligence computing will not only transform modern industry but also advance societal health and wellness, as well as and make the environment more sustainable. This book uses an interdisciplinary approach to explain the complex issue of scientific and technological innovations largely based on intelligent computing
    Note: English
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  • 42
    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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  • 43
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781839686665 , 9781839686658 , 9781839686672
    Language: Undetermined
    Pages: 1 Online-Ressource (142 p.)
    Keywords: Artificial intelligence
    Abstract: Optimisation is one of the unavoidable key subjects in engineering and other real-world problems, which attracts researchers’ and practitioners’ attention for decades. On the other hand, computational algorithms nowadays play a definitive role in most real-life applications, from mobile phones to supercomputers, Internet servers, manufacturing, etc. An intelligent method for the enumeration of feasible solutions may lead to efficient computational algorithms. Swarm intelligence emerges as a rather new and novel of field computational intelligence that turned into a hot spot in optimization studies last two decades. This book brings together a number of research articles within the intersection of these two prominent subjects, which introduces techniques and approaches in detail and demonstrates how optimisation problems can be solved with heuristic and swarm intelligence approaches. It contains a few contributions on Particle Swarm Optimisation (PSO) area, which is one of renown swarm optimisation approaches that will shed light to issues around optimisation with swarm intelligence to guide junior researchers with implementation details provided
    Note: English
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  • 44
    ISBN: 9781837689477 , 9781837689460 , 9781837689484
    Language: Undetermined
    Pages: 1 Online-Ressource (178 p.)
    Series Statement: Artificial Intelligence 12
    Keywords: Artificial intelligence
    Abstract: Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, and industrial machines, among others, the impact of AI is notoriously changing the world we live in and making it better in many areas. However, it is equally important to remember that every progress comes with certain challenges that we as a society must address
    Note: English
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  • 45
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781803551784 , 9781803551777 , 9781803551791
    Language: Undetermined
    Pages: 1 Online-Ressource (174 p.)
    Keywords: Artificial intelligence
    Abstract: The solution to many real-world problems lies in optimizing processes, parameters, or techniques, which requires dealing with immense search spaces. As such, finding solutions involves exhaustive methods to evaluate all possible solutions in the search for a global optimum. Some of these methods include evolutionary algorithms and genetic algorithms, both of which have proven to effectively deal with complex search spaces. This book focuses on genetic algorithms and their applications in various fields, including engineering and architecture
    Note: English
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  • 46
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781803554570 , 9781803554563 , 9781803554587
    Language: Undetermined
    Pages: 1 Online-Ressource (236 p.)
    Keywords: Artificial intelligence
    Abstract: Biometrics are widely used in various real-life applications, including personal recognition, identification, verification, and more. They may also be used for safety, security, permission, banking, crime prevention, forensics, medical applications, and communication. This book explores the latest developments, theories, methods, approaches, algorithms, analysis, systems, hardware, and software in biometrics and related systems
    Note: English
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  • 47
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781839683190 , 9781839683183 , 9781839683206
    Language: English
    Pages: 1 Online-Ressource (212 p.)
    Keywords: Artificial intelligence
    Abstract: Data mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. This book presents recent theoretical and practical advances in the field of data mining. It discusses a number of data mining methods, including classification, clustering, and association rule mining. This book brings together many different successful data mining studies in various areas such as health, banking, education, software engineering, animal science, and the environment
    Note: English
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  • 48
    ISBN: 9781839623882 , 9781839623875 , 9781839623899
    Language: Undetermined
    Pages: 1 Online-Ressource (158 p.)
    Series Statement: Artificial Intelligence 5
    Keywords: Artificial intelligence
    Abstract: Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science
    Note: English
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  • 49
    ISBN: 9781839623882 , 9781839623875 , 9781839623899
    Language: English
    Pages: 1 Online-Ressource (158 p.)
    Series Statement: Artificial Intelligence 5
    Keywords: Artificial intelligence
    Abstract: Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science
    Note: English
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  • 50
    ISBN: 9781789854206 , 9781789854190 , 9781789858594
    Language: English
    Pages: 1 Online-Ressource (150 p.)
    Keywords: Artificial intelligence
    Abstract: Artificial intelligence (AI) is everywhere and it's here to stay. Most aspects of our lives are now touched by artificial intelligence in one way or another, from deciding what books or flights to buy online to whether our job applications are successful, whether we receive a bank loan, and even what treatment we receive for cancer. Artificial Neural Networks (ANNs) as a part of AI maintains the capacity to solve problems such as regression and classification with high levels of accuracy. This book aims to discuss the usage of ANNs for optimal solving of time series applications and clustering. Bounding of optimization methods particularly metaheuristics considered as global optimizers with ANNs make a strong and reliable prediction tool for handling real-life application. This book also demonstrates how different fields of studies utilize ANNs proving its wide reach and relevance
    Note: English
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  • 51
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781839628795 , 9781839628788 , 9781839628801
    Language: English
    Pages: 1 Online-Ressource (122 p.)
    Series Statement: Artificial Intelligence 4
    Keywords: Artificial intelligence
    Abstract: Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike
    Note: English
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  • 52
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789840285 , 9781789840278 , 9781838806163
    Language: English
    Pages: 1 Online-Ressource (96 p.)
    Keywords: Artificial intelligence
    Abstract: Social media has transformed society and the way people interact with each other. The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. There is a need to develop robust and adaptable systems to tackle these open issues in real time, as well as to provide a meaningful summarization and visualization to the end users. This book provides the reader with a comprehensive overview of the latest developments in social media and machine learning, addressing research innovations, applications, trends, and open challenges in this crucial area
    Note: English
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  • 53
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789855487 , 9781789855470 , 9781838810924
    Language: English
    Pages: 1 Online-Ressource (86 p.)
    Keywords: Artificial intelligence
    Abstract: Advance exact science of nowadays inherited the original ontology’s its efforts to systemize and conceptualize. In this respect the concept of ontology is now a non-speculative methodology for both studying reality objects and its used tools, which both instruments are important for our orientation in the space of physical, technical, mental and societal world. So, within the exactly considered ontology, we deal with the process of studying, as well as with the outcome of such studying of the objects observed or created by man and their respective made by man concepts, relations between them and relations between their systems in the fields of the given scientific branches. This book Ontological Analyses in Science, Technology and Informatics - the second volume released within the framework of the IntechOpen project in this field - is the illustration of application of the concept of ontology approach understood in the modern and exact way, it is the presentation of the Ontology science. This book covers the examples of the modern ontology approach, especially the approach in the branch of the Information Science dealing with the Inference and Proof, Knowledge patterns, Cross-Application Communication, Diagnosis and Expert systems in Health and Food and the Taxonomy problems.The intended readers of this book are researchers, students and all the practitioners in the field
    Note: English
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  • 54
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789844894 , 9781789844887 , 9781789853940
    Language: English
    Pages: 1 Online-Ressource (170 p.)
    Keywords: Artificial intelligence
    Abstract: Research on multi-agent systems is enlarging our future technical capabilities as humans and as an intelligent society. During recent years many effective applications have been implemented and are part of our daily life. These applications have agent-based models and methods as an important ingredient. Markets, finance world, robotics, medical technology, social negotiation, video games, big-data science, etc. are some of the branches where the knowledge gained through multi-agent simulations is necessary and where new software engineering tools are continuously created and tested in order to reach an effective technology transfer to impact our lives. This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. We hope that this book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems
    Note: English
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  • 55
    ISBN: 9781838810078 , 9781838810061 , 9781838810085
    Language: English
    Pages: 1 Online-Ressource (130 p.)
    Keywords: Artificial intelligence
    Abstract: What are expert systems and what are their purposes? What are the impacts resulting from their implementations? This book aims to answer these questions and more. Written by experts in the field, chapters It explores different concepts of expert systems such as computational intelligence, signal processing, real time systems, systems optimization, electric power systems, fault diagnosis, asset management, and smart cityescities. This book will appeal to wide range of readers, including those interested in acquiring basic knowledge and those who are motivated to learn more about the technical elements and technological applications of expert systems
    Note: English
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  • 56
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781838807061 , 9781838807054 , 9781838807078
    Language: English
    Pages: 1 Online-Ressource (198 p.)
    Keywords: Artificial intelligence
    Abstract: Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications
    Note: English
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  • 57
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781838805234 , 9781838805227 , 9781789857221
    Language: English
    Pages: 1 Online-Ressource (294 p.)
    Keywords: Artificial intelligence
    Abstract: The book “Intelligent System and Computing†reports the theory, mathematical models, algorithms, design methods, and applications of intelligent systems and computing. It covers various disciplines including computer and information science, electrical and computer engineering, natural sciences, economics, and neuroscience. The broad-ranging discussion covers the key disciplines in computational science and artificial intelligence as well as advances in neuromorphic computing, deep learning, the Internet of Things, computer vision, and many others. This volume provides both academics and professionals with a comprehensive overview of the field and presents areas for future research
    Note: English
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  • 58
    ISBN: 9781789851588 , 9781789851571 , 9781789851427
    Language: English
    Pages: 1 Online-Ressource (206 p.)
    Keywords: Artificial intelligence
    Abstract: Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research
    Note: English
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  • 59
    ISBN: 9781789845372 , 9781789845365 , 9781839680007
    Language: English
    Pages: 1 Online-Ressource (128 p.)
    Series Statement: Artificial Intelligence 2
    Keywords: Artificial intelligence
    Abstract: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence
    Note: English
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  • 60
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789857528 , 9781789857511 , 9781839620676
    Language: Undetermined
    Pages: 1 Online-Ressource (90 p.)
    Keywords: Artificial intelligence
    Abstract: This book integrates the practices of enthusiastic investigators in the field of MAS-based approaches, elaboration, and implementation. The content of the book identifies the most complicated tasks and their possible solutions while implementing MAS instrumentation into engineering practice. The proposed focus on the control problems involves a wide range of adjacent problems described in the chapters of the book. Material presented in the book aim to provide the basic knowledge for further MAS-systems study and control design to reach the goals and needs coming from engineering practice under often contradictory existing requirements
    Note: English
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  • 61
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781838818869 , 9781838818852 , 9781838818876
    Language: Undetermined
    Pages: 1 Online-Ressource (118 p.)
    Keywords: Artificial intelligence
    Abstract: The theoretical approach of this book is to develop a primary survey of the knowledge representation model, providing convergence of classical operations research and modern knowledge engineering. This convergence creates new opportunities for complicated problems of formalization and solution by integrating the best features of mathematical programming or constraint programming. This book explains in six chapters that expert systems are products in the field of computer science that attempt to perform as intelligent software. What is outstanding for expert systems is the applicability area and the solving of different problems in many fields or industrial branches
    Note: English
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  • 62
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789846393 , 9781789846386 , 9781839627705
    Language: English
    Pages: 1 Online-Ressource (112 p.)
    Keywords: Artificial intelligence
    Abstract: Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models
    Note: English
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  • 63
    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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  • 64
    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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  • 65
    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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  • 66
    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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  • 67
    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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  • 68
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen | The Hague : OAPEN FOUNDATION
    ISBN: 9781789859362 , 9781789859355 , 9781839621246
    Language: English
    Pages: 1 Online-Ressource (78 p.)
    DDC: 303.4834
    Keywords: Artificial intelligence ; big data, environment, databases, social network, prediction
    Abstract: Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges.
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  • 69
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535138884 , 9789535138877 , 9789535139850
    Language: Undetermined
    Pages: 1 Online-Ressource (310 p.)
    Keywords: Artificial intelligence
    Abstract: The book on Ontology in Information Science explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in 12 chapters. This book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and application in various areas. It also includes the design aspects of domain ontologies considering the architecture, development strategy, and selection of tools. The intended audience of this book will mainly consist of researchers, research students, and practitioners in the field of ontology and information science
    Note: English
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  • 70
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789233650 , 9781789233643 , 9781838816155
    Language: Undetermined
    Pages: 1 Online-Ressource (464 p.)
    Keywords: Artificial intelligence
    Abstract: Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area
    Note: English
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  • 71
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789236071 , 9781789236064 , 9781838814489
    Language: Undetermined
    Pages: 1 Online-Ressource (218 p.)
    Keywords: Artificial intelligence
    Abstract: Intelligent system is an advanced machine that can perceive, learn, and solve the problems with a great accuracy. Technologies with intelligent system are currently available in the market and used in real-world applications, i.e., self-driving cars, Siri, Alexa, Facebook, and so on. To exceed human cognitive capabilities, the important keys rely on the development of sensors and algorithms. Therefore, the insight into artificial intelligence (AI) methods becomes a fundamental building block for design and construction of intelligent system with particular applications. This book aims to describe the AI systems ranging from the basic knowledge, i.e., algorithm and mathematical models of AI techniques, fundamentals of machine learning, genetic algorithm, and fuzzy logic, to the current state-of-the-art applications, such as smart road and biomedical applications
    Note: English
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  • 72
    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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  • 73
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789803273
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 14 min., 40 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Python (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. You've seen automated recommendations everywhere--on Netflix's home page, on YouTube, and on Amazon--as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you'll become very valuable to them. We cover tried-and-true recommendation algorithms based on neighborhood-based collaborative filtering and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you'll learn from Kane's extensive industry experience and understand the real-world challenges you'll encounter when applying these algorithms at a large scale and with real-world data. The coding exercises in this course use the Python programming language. We include an intro to Python if you're new to it, but you'll need some prior programming experience in order to use this course successfully. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you'll need to be able to understand new computer algorithms."--Resource description page.
    Note: Title from resource description page (Safari, viewed November 5, 2018)
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  • 74
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789138245
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 43 min., 55 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Application software ; Development ; Computer algorithms ; Electronic videos ; local ; Electronic videos
    Abstract: "If you've ever wanted the Jetsons to be real, well we aren't that far off from a future like that. If you've ever chatted with automated robots, then you've definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading its reach and making our devices smarter. Artificial intelligence is the future of computers, where your devices will be able to decide what is right for you. Machine learning is the core for having a futuristic reality where robot maids and robodogs exist. Machine learning includes the algorithms that allow the computers to think and respond, as well as manipulate the data depending on the scenario that's placed before them. So, if you've ever wanted to play a role in the future of technology development, then here's your chance to get started with machine learning. Because machine learning is complex and tough, we've designed a course to help break it down into more simple concepts that are easier to understand. It also requires you to have some experience with Python principles which will be required when we put the algorithms to test in actual real-world Python projects. The course covers a number of different machine learning algorithms such as supervised learning, unsupervised learning, reinforced learning and even neural networks. From there you will learn how to incorporate these algorithms into actual projects so you can see how they work in action! But, that's not all. At the end of each unit, the course includes quizzes to help you evaluate your learning on the subject."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 7, 2018)
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  • 75
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789801767 , 1789801761
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and take application performance to a whole new level Key Features Explore scikit-learn uniform API and its application into any type of model Understand the difference between supervised and unsupervised models Learn the usage of machine learning through real-world examples Book Description As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you 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 algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem. The focus of the book then 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 the performance of the algorithm by tuning hyperparameters. By the end of this book, you will have gain all the skills required to start programming machine learning algorithms. What you will learn Understand the importance of data representation Gain insights into the differences between supervised and unsupervised models Explore data using the Matplotlib library Study popular algorithms, such as k-means, Mean-Shift, and DBSCAN Measure model performance through different metrics Implement a confusion matrix using scikit-learn Study popular algorithms, such as Naive-Bayes, Decision Tree, and SVM Perform error analysis to improve the performance of the model Learn to build a comprehensive machine learning program Who this book is for Machine Learning Fundamentals is designed for developers who are new to the field of machine learning and want to learn how to use the scikit-learn library to develop machine learning algorithms. You must have some knowledge and experience in Python programming, but you do not need any prior knowledge of scikit-learn or machine learning algorithms.
    Note: Description based on online resource; title from resource description page (Safari, viewed February 15, 2019)
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  • 76
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789130539
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 8 min., 20 sec.)) , digital, sound, color
    Keywords: Natural language processing (Computer science) ; Web-based user interfaces ; Web applications ; Development ; Artificial intelligence ; Human-computer interaction ; Semantic computing ; Electronic videos ; local
    Abstract: "Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. This course introduces Dialogflow, Google's conversational interface for bots, devices, and applications."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 7, 2018)
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  • 77
    ISBN: 9789535125358 , 9789535125341 , 9789535157762
    Language: English
    Pages: 1 Online-Ressource (180 p.)
    Keywords: Artificial intelligence
    Abstract: This book has a complete set of applications of artificial neural networks that allow the reader to gain experience about the new systems for implementing and developing artificial intelligence (AI) methods, which can run in several digital systems. On the other hand, the book shows the newest algorithms of artificial intelligence that provide a wide spectrum of research areas in which AI can be deployed. There are a lot of books that address AI applications. However, this book shows the newest applications reached according with the technological changes that are presented nowadays. Those changes drastically appear in digital systems or other parallel areas that allow to improve the performance of AI algorithms. Hence, sometimes, the AI algorithms have to be redesigned in order to run in microcontrollers or FPGAs. The topics covered generate a structured book, so it could be used as a textbook, but it is designed to be accessible to a wide audience interested in AI
    Note: English
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  • 78
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535121534 , 9789535163831
    Language: English
    Pages: 1 Online-Ressource (180 p.)
    Keywords: Artificial intelligence
    Abstract: This book is a collection of chapters, concerning the developments within the Fuzzy Logic field of study. The book includes scholarly contributions by various authors pertinent to Fuzzy Logic. Each contribution comes as a separate chapter complete in itself but directly related to the books topics and objectives. The target audience comprises scholars and specialists in the field
    Note: English
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  • 79
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535109136 , 9789535162971
    Language: English
    Pages: 1 Online-Ressource (140 p.)
    Keywords: Artificial intelligence
    Abstract: This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents
    Note: English
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  • 80
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535109358 , 9789535157151
    Language: English
    Pages: 1 Online-Ressource (266 p.)
    Keywords: Artificial intelligence
    Abstract: Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies
    Note: English
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  • 81
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535111016 , 9789535157120
    Language: English
    Pages: 1 Online-Ressource (206 p.)
    Keywords: Artificial intelligence
    Abstract: Cellular automata have become a core subject in the sciences of complexity due to their conceptual simplicity, easiness of implementation for computer simulation, and ability to exhibit a wide variety of amazingly complex behavior. These features of cellular automata have attracted the researchers attention from a wide range of divergent fields of science. In this book, six outstanding emerging cellular automata applications have been compiled. These contributions underline the versatility of cellular automata as models for a wide diversity of complex systems. We hope that, after reading the outstanding contributions compiled in this book, we will have succeeded in bringing across what engineers and scientists are now doing about the application of cellular automata for solving practical problems in diverse disciplines. We also hope that this book will have been to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different topics of cellular automata covered in this book
    Note: English
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  • 82
    ISBN: 9789535107590 , 9789535156796
    Language: English
    Pages: 1 Online-Ressource (592 p.)
    Keywords: Artificial intelligence
    Abstract: Fuzzy control theory is an emerging area of research. At the core of many engineering problems is the problem of control of different systems. These systems range all the way from classical inverted pendulum to auto-focusing system of a digital camera. Fuzzy control systems have demonstrated their enhanced performance in all these areas. Progress in this domain is very fast and there was critical need of a book that captures all the recent advances both in theory and in applications. Serving this purpose, this book is conceived. This book will provide you a very clear picture of current status of fuzzy control research. This book is intended for researchers, engineers, and postgraduate students specializing in fuzzy systems, control engineering, and robotics
    Note: English
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  • 83
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535108092 , 9789535156994
    Language: English
    Pages: 1 Online-Ressource (300 p.)
    Keywords: Artificial intelligence
    Abstract: Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP
    Note: English
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  • 84
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535108238 , 9789535156697
    Language: English
    Pages: 1 Online-Ressource (242 p.)
    Keywords: Artificial intelligence
    Abstract: This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject
    Note: English
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  • 85
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535105978 , 9789535156345
    Language: English
    Pages: 1 Online-Ressource (286 p.)
    Keywords: Artificial intelligence
    Abstract: Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography. It is a valuable contribution to the advancement of the field. The expected readers are advanced students and researchers on the knowledge representation field and related areas; it may also help to computer oriented practitioners of diverse fields looking for ideas on how to develop a knowledge-based application
    Note: English
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  • 86
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535105367 , 9789535157038
    Language: English
    Pages: 1 Online-Ressource (280 p.)
    Keywords: Artificial intelligence
    Abstract: The current book is a combination of number of great ideas, applications, case studies, and practical systems in the domain of Semantics. The book has been divided into two volumes. The current one is the second volume which highlights the state-of-the-art application areas in the domain of Semantics. This volume has been divided into four sections and ten chapters. The sections include: 1) Software Engineering, 2) Applications: Semantic Cache, E-Health, Sport Video Browsing, and Power Grids, 3) Visualization, and 4) Natural Language Disambiguation. Authors across the World have contributed to debate on state-of-the-art systems, theories, models, applications areas, case studies in the domain of Semantics. Furthermore, authors have proposed new approaches to solve real life problems ranging from e-Health to power grids, video browsing to program semantics, semantic cache systems to natural language disambiguation, and public debate to software engineering
    Note: English
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  • 87
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535104681 , 9789535155867
    Language: English
    Pages: 1 Online-Ressource (134 p.)
    Keywords: Artificial intelligence
    Abstract: With surveillance cameras installed everywhere and continuously streaming thousands of hours of video, how can that huge amount of data be analyzed or even be useful? Is it possible to search those countless hours of videos for subjects or events of interest? Shouldn’t the presence of a car stopped at a railroad crossing trigger an alarm system to prevent a potential accident? In the chapters selected for this book, experts in video surveillance provide answers to these questions and other interesting problems, skillfully blending research experience with practical real life applications. Academic researchers will find a reliable compilation of relevant literature in addition to pointers to current advances in the field. Industry practitioners will find useful hints about state-of-the-art applications. The book also provides directions for open problems where further advances can be pursued
    Note: English
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  • 88
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535100195 , 9789535156352
    Language: English
    Pages: 1 Online-Ressource (120 p.)
    Keywords: Artificial intelligence
    Abstract: The work addresses to specialists in informatics, with preoccupations in development of Business Intelligence systems, and also to beneficiaries of such systems, constituting an important scientific contribution. Experts in the field contribute with new ideas and concepts regarding the development of Business Intelligence applications and their adoption in organizations. This book presents both an overview of Business Intelligence and an in-depth analysis of current applications and future directions for this technology. The book covers a large area, including methods, concepts, and case studies related to: constructing an enterprise business intelligence maturity model, developing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, adding semantics to Business Intelligence, towards business intelligence over unified structured and unstructured data using XML, density-based clustering and anomaly detection, data mining based on neural networks
    Note: English
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  • 89
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535104001 , 9789535156901
    Language: English
    Pages: 1 Online-Ressource (330 p.)
    Keywords: Artificial intelligence
    Abstract: Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms
    Note: English
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  • 90
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535103646 , 9789535155843
    Language: English
    Pages: 1 Online-Ressource (206 p.)
    Keywords: Artificial intelligence
    Abstract: The field of research that studies the emergent collective intelligence of self-organized and decentralized simple agents is referred to as Swarm Intelligence. It is based on social behavior that can be observed in nature, such as flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. The computer science community have already learned about the importance of emergent behaviors for complex problem solving. Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence
    Note: English
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  • 91
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535104094 , 9789535156208
    Language: English
    Pages: 1 Online-Ressource (304 p.)
    Keywords: Artificial intelligence
    Abstract: New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters
    Note: English
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  • 92
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    ISBN: 9789535100744 , 9789535156628
    Language: English
    Pages: 1 Online-Ressource (242 p.)
    Keywords: Artificial intelligence
    Abstract: Due to the development of mobile and Web 2.0 technology, knowledge transfer, storage and retrieval have become much more rapid. In recent years, there have been more and more new and interesting findings in the research field of knowledge management. This book aims to introduce readers to the recent research topics, it is titled "New Research on Knowledge Management Technology" and includes 13 chapters. In this book, new KM technologies and systems are proposed, the applications and potential of all KM technologies are explored and discussed. It is expected that this book provides relevant information about new research trends in comprehensive and novel knowledge management studies, and that it serves as an important resource for researchers, teachers and students, and for the development of practices in the knowledge management field
    Note: English
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  • 93
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789533078908 , 9789535155775
    Language: English
    Pages: 1 Online-Ressource (272 p.)
    Keywords: Artificial intelligence
    Abstract: In this book, the reader will find a set of papers divided into two sections. The first section presents different proposals focused on the human-machine interaction development process. The second section is devoted to different aspects of interaction, with a special emphasis on the physical interaction
    Note: English
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  • 94
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535108887 , 9789535162735
    Language: English
    Pages: 1 Online-Ressource (130 p.)
    Keywords: Artificial intelligence
    Abstract: Intelligent systems, known as expert systems, serve to this purpose in the extent that they have signed as facilitators in this process. These are systems that are based on expert knowledge, on any subject, in order to emulate human expertise in the specific field. To obtain this knowledge, the knowledge engineers, also called software engineers, need to develop methodologies for intelligent systems. In this area there is still no unified methodology that provides effective methods, notations and tools to aid in development
    Note: English
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  • 95
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535105633 , 9789535155782
    Language: English
    Pages: 1 Online-Ressource (190 p.)
    Keywords: Artificial intelligence
    Abstract: Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans
    Note: English
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  • 96
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535102762 , 9789535156277
    Language: English
    Pages: 1 Online-Ressource (138 p.)
    Keywords: Artificial intelligence
    Abstract: Agent-based technology provides a new computing paradigm, where intelligent agents can be used to perform tasks such as sensing, planning, scheduling, reasoning and decision-making. In an agent-based system, software agents with sufficient intelligence and autonomy can either work independently or coordinately with other agents to accomplish tasks and missions. In this book, we provide up-to-date practical applications of agent-based technology in various fields, such as electronic commerce, grid computing, and adaptive virtual environment. The selected applications are invaluable for researchers and practitioners to understand the practical usage of agent-based technology, and also to apply agent-based technology innovatively in different areas
    Note: English
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  • 97
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535101468 , 9789535156895
    Language: English
    Pages: 1 Online-Ressource (378 p.)
    Keywords: Artificial intelligence
    Abstract: The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc
    Note: English
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  • 98
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535105251 , 9789535162049
    Language: English
    Pages: 1 Online-Ressource (518 p.)
    Keywords: Artificial intelligence
    Abstract: This book is an attempt to accumulate the researches on diverse inter disciplinary field of engineering and management using Fuzzy Inference System (FIS). The book is organized in seven sections with twenty two chapters, covering a wide range of applications. Section I, caters theoretical aspects of FIS in chapter one. Section II, dealing with FIS applications to management related problems and consisting three chapters. Section III, accumulates six chapters to commemorate FIS application to mechanical and industrial engineering problems. Section IV, elaborates FIS application to image processing and cognition problems encompassing four chapters. Section V, describes FIS application to various power system engineering problem in three chapters. Section VI highlights the FIS application to system modeling and control problems and constitutes three chapters. Section VII accommodates two chapters and presents FIS application to civil engineering problem
    Note: English
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  • 99
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535100546 , 9789535156338
    Language: English
    Pages: 1 Online-Ressource (380 p.)
    Keywords: Artificial intelligence
    Abstract: This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier
    Note: English
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  • 100
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    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535108528 , 9789535157007
    Language: English
    Pages: 1 Online-Ressource (228 p.)
    Keywords: Artificial intelligence
    Abstract: Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields
    Note: English
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