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  • Safari, an O’Reilly Media Company  (373)
  • Andersen, Hans Christian
  • Electronic videos ; local  (373)
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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 5+ Hours of Video Instruction Web applications of today are becoming increasingly more complex. Our apps commonly need to request data from various sources and handle rich user interactions, which can become difficult to keep track of as our apps scale. Luckily, if you are using the React framework, there are many ways to solve these problems. React has emerged as the industry standard for JavaScript frameworks. With more than 3 million weekly downloads from the NPM package manager—and heavy usage by leading companies such as Google, Microsoft, Netflix, Twitter and so many more—React is a leading framework. Learn how to unlock the power of React with the Redux library to provide creative solutions and highly flexible web components. In larger applications, many developers and teams lean on Flux-style architectures, such as those implemented by the Redux library, which have proven to be highly scalable and easily testable. Instructor Dave Lunny covers how you can develop successful web applications with these powerful technologies. Description In this 5 hour LiveLesson, Dave Lunny provides a deep dive into the concepts behind Flux-based architectures like Redux, showing how to use unidirectional data patterns to help simplify your web applications. Lunny uses a mix of screen casting, slides, and personal narrative to cover modern development patterns, demonstrating how to solve state management issues that can arise—such as higher-order components, render props, and context. Skill Level Beginning-Intermediate What You Will Learn How to simplify the way data flows through applications A full understanding of the concepts behind Flux-style architecture and how to think in Redux Exciting concepts to help make components more flexible A keen understanding of the overarching concept behind Redux and how the library fits into a modern front-end JavaScript stack How to use Redux with React Advanced React patterns, such as higher-order components, render props, and the Context API Who Should Take This Course Web Developers Javascript developers Course Requirements Pre-requisites: A working knowledge of modern JavaScript (ES6+), as well as some basic CSS/HTML knowledge. Understanding of common web development best practices, specifically the benefits of building reusable UI components. Intermediate knowledge of the React JavaScript framework. About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technolo...
    Anmerkung: Online resource; Title from title screen (viewed April 18, 2019)
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  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 16 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The courses in this series will help you prepare for the Unity Certified 3D Artist exam, the professional certification for entry- to mid-level Unity artists. 3D artists are critical to the Unity development pipeline. They are a bridge between the programmers writing the application code and the designers or art directors who define the application’s aesthetics and style. In these courses, you will be challenged to complete realistic art implementation tasks in Unity that are aligned to the topics covered on the exam. Description Unity’s only official series of courses to prepare for the Unity Certified 3D Artist exam. This specialization covers five topic areas distributed over 5 self-paced courses: Asset Creation and Management; Lighting, Reflection and Post-Processing Effect; Integrating Scripts for Scene Integrations; Character Setup; and Setting up Cutscenes.Participants in this Specialization will complete multiple project milestones across two main projects: a Kitchen Configuration application with a realistic aesthetic, and a 3D video game level with a more stylized science-fantasy look. Across these two projects, learners will complete tasks including importing assets, manipulating materials, creating prefabs, adding lighting, setting up character models, and building cutscenes. About the Instructor Unity Technologies is the creator of the worlds most widely used real-time 3D (RT3D) development platform, giving developers around the world the tools to create rich, interactive 2D, 3D, VR and AR experiences. Our 1000 person engineering team keeps Unity at the bleeding-edge of technology by working alongside partners such as Facebook, Google, Microsoft, and Oculus to ensure optimized support for the latest releases and platforms. Experiences made with Unity reach nearly 3 billion devices worldwide, and were installed 24 billion times in the last 12 months. Unity is powering RT3D in architecture, automotive, construction, engineering, film, games, and more. By successfully completing the projects in all four courses, participants will have had extensive, guided practice in the programming skills needed to pass the Unity Certified 3D Artist Programmer Eexam. Skill Level Intermediate What You Will Learn Select the relevant import settings for importing 3D assets into Unity Troubleshoot common issues with imported 3D assets Identify techniques to prototype scenes and maintain prefabs throughout the production cycle Recognize pro...
    Anmerkung: Online resource; Title from title screen (viewed June 5, 2019)
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251928
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Learn automatic testing in Xcode. Start by creating a simple test app that intentionally crashes in given scenarios. Then review the code to find obvious bad practices and issues. Discover why unit testing is important and perform a simple unit test. Work with test cases before adding functionality. Then increase code coverage and learn why it's important. Finally work with different parts of the app to test specific functionality. What You'll Learn Set up different UI tests for testing different parts of an app Perform simple unit test cases in a project Use test cases before adding functionality to ensure quality apps Who This Video Is For Professional developers or experienced programmers who want to incorporate best practices for testing their apps before publishing them.
    Anmerkung: Online resource; Title from title screen (viewed July 8, 2019)
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  • 4
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: When considering the complexities of implementing a next-generation data pipeline, the risk of over-promising and under-delivering is incredibly high due to the overwhelming expectations placed on predictive analytics today. It’s critical to look at a number of factors—like your company’s culture and the historic promise gap between ETL (extract, transform, load) in the 1970s and AI (artificial intelligence) in the 2010s—to overcome the challenges and succeed. Natalino Busa discusses how to bust the myths, deconstruct the false assumptions, and avoid common pitfalls in order to build and deliver successful data pipelines that deliver real value to your organization. Recorded on February 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Anmerkung: Online resource; Title from title screen (viewed August 27, 2019)
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  • 5
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: With new technologies increasing the pace of innovation every day, companies demand a constant supply of fresh ideas. To be successful, an innovation process must deliver two things: a superior solution and a great market response. Once you have the former, how do you ensure the latter? It all starts by examining the key dimensions of a technology’s evolution and understanding how it’s delighting customers. Learn how to make better decisions about where to focus your innovation efforts and money. You’ll also find out—through two case studies—how backing the right industry innovations can pay off for your organization in a major way. Recorded on April 10, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed August 29, 2019)
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  • 6
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Long gone are the days when computer security was about data. Now, it’s about the much more critical and personal issues of life and property. The impact of this change means two things: Data authentication and integrity concerns will trump those of confidentiality The idea of an internet without regulations will be a thing of the past While these consequences are inevitable, we can prepare for them. First, by looking at previous attempts to secure these systems. Then, by considering the appropriate technologies, laws, regulations, economic incentives, and social norms we should focus on going forward. Recorded on April 4, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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  • 7
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 45 min.)
    Ausgabe: 3rd edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 10+ Hours of Video Instruction Description Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation provides a solid understanding of all the topics required to pass the RHCE exam, including how to perform common automation tasks using Ansible and management of a Linux environment Overview Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation is all new and fully updated. This 10-hour video course provides a solid understanding of all the topics required to pass the RHCE exam and includes live demos, exam question walk-throughs and dynamic lightboard teaching. The student learns how to perform common automation tasks using Ansible as well as how to use common Ansible components to automate the management of a Linux environment. RHCE EX294 Complete Video Course covers all facets of the newly-updated RHCE exam. Instructor Sander van Vugt walks you through the topics using demos and labs to test the student's knowledge with real world scenarios. Each video lesson ends with a lab that provides an exercise so you can test your skills. Sander then provides a detailed solution to each lab, explaining how to solve for the exam objectives so you can get the experience you need to pass the test. Audio instruction throughout offers detailed explanations, tips, and configuration verifications. This engaging self-paced video training solution provides learners with more than 10 hours of video instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat Certified Engineer (RHCE) exam, as well as a deeper understanding of Red Hat Enterprise Linux and Ansible. The combination of video, labs, and practice exams provides a unique offering that gives you a full toolkit to learn and excel on your exam. Topics include: Module 1: Introduction to Ansible Module 2: Using Advanced Ansible Solutions Module 3: Managing Systems with Ansible Module 4: Sample Exam About the Instructor Sander van Vugt has been teaching Linux classes sinc...
    Anmerkung: Online resource; Title from title screen (viewed September 27, 2019)
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  • 8
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Prentice Hall | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 hr., 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 31+ hours of video instruction . Overview The professional programmer’s Deitel® video guide to Python development with the powerful IPython and Jupyter Notebooks platforms. Description Python Fundamentals LiveLessons with Paul Deitel is a code-oriented presentation of Python—one of the world’s most popular and fastest growing languages. In the context of scores of real-world code examples ranging from individual snippets to complete scripts, Paul will demonstrate coding with the interactive IPython interpreter and Jupyter Notebooks. You’ll quickly become familiar with the Python language, its popular programming idioms, key Python Standard Library modules and several popular open-source libraries. In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he’ll introduce some of today’s most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, Spark™ streaming, NoSQL databases and the Internet of Things. Download the code examples for this LiveLesson from https://github.com/pdeitel/PythonFundamentalsLiveLessons . This repository will be updated with the additional lessons’ examples as the lessons are completed. About the Instructor Paul J. Deitel , CEO and Chief Technical Officer of Deitel & Associates, Inc., is a graduate of MIT, where he studied Information Technology. He holds the Sun (now Oracle) Certified Java Programmer and Certified Java Developer certifications, and is an Oracle Java Champion. Through Deitel & Associates, Inc., he has delivered Java, C#, Visual Basic, C++, C and Internet programming courses to industry clients, including Cisco, IBM, Sun Micro systems, Dell, Siemens, Lucent Technologies, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile ...
    Anmerkung: Online resource; Title from title screen (viewed August 26, 2019)
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  • 9
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: O’Reilly Media’s Velocity San Jose 2019 conference had one overarching goal: offer conference attendees the opportunity to gather expert insight on building and maintaining cloud native systems. How did Velocity meet that goal? By giving the world’s best cloud native system engineers, SREs, and DevOps experts the chance to share their experiences. For example: Alex Chen (Alibaba Cloud) described how cloud native storage products such as table storage, object storage, and log storage enabled the Alibaba platform to handle RMB 10B worth of sales in two minutes and five seconds. Ory Segal's (PureSec) revealed how attackers approach and exploit the weaknesses of serverless and what you can do about it. Nivia Henry (Spotify) demonstrated how an algorithm is built and what you can do to catch, reduce, or eliminate the algorithmic biases that produce infamous events like Tay the racist Twitter Bot. This video compilation contains all of these talks plus the best keynotes, tutorials, and tech sessions delivered at Velocity San Jose 2019. Looking to build your knowledge of how to build and maintain cloud native systems? Get this compilation and you’ll be on your way. Highlights include: Complete video recordings of Velocity San Jose 2019’s best tutorials, keynote speeches, and technical sessions—contains hours of material to review and study at your own pace and schedule. Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. Keynotes from luminaries such as Liz Fong-Jones (Honeycomb), Everett Harper (Truss), Julie Horvath (Apple), Alex Qin (Code Cooperative), Lena Hall (Microsoft), and Jessica Kerr (Atomist). Sessions devoted to building secure and resilient systems, including Ian Coldwater’s (Independent) deep dive into Kubernetes CVE-2018-1002105 protections and Nora Jones (Slack) on the advanced approaches required for each piece of the chaos experiments cycle. Special sessions called “Overcoming Obstacles: Lessons in Resilience,” featuring the stories of cloud engineering success in the face of overwhelming barriers from practitioners such as Ryan Kitchens (Netflix), Tim Bonci (Vistaprint), and Tammy Butow (Gremlin). Sessions covering production engineering, SRE, and DevOps, including Charity Majors (Honeyco...
    Anmerkung: Online resource; Title from title screen (viewed June 12, 2019)
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  • 10
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251515
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Learn best practices in certificate management for SQL Server. Certificates are small snippets of text that are foundational to encrypting and decrypting data. Watch this video to learn how to safely store certificates and prevent them from falling into the wrong hands and compromising the very data you are using them to protect. Also learn how to ensure that you still have access to needed certificates following a catastrophe or other data loss event, because data loss from lost certificates is a very real risk that must be managed and mitigated. This video begins with a short introduction to certificates and some of the different types of encryption they enable you as a SQL Server DBA to implement – such as transparent data encryption (TDE), backup encryption, and column encryption. Then you’ll learn practices for generating and managing certificates specifically for each of the different certificate types. Next, you’ll learn best practices for backing up and securing your encryption certificates so that you have them when you need them, because losing them can mean losing your data altogether. You’ll learn about certificate expiration, and the proper methods by which to backup, store, restore, and protect your certificates so that any encrypted data is never lost. What You Will Learn Ensure access to certificates following a catastrophe or other data loss event Learn about the types of encryption SQL Server offers Understand how certificates enable encryption Generate correct certificates for your chosen encryption methods Find where each certificate type is stored, how to back it up, and how to restore it Identify best practices with regards to generating and managing certificates Who This Video Is For For database administrators and system administrators who handle or plans to handle certificates for encrypting data on SQL Server instances.
    Anmerkung: Online resource; Title from title screen (viewed June 27, 2019)
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  • 11
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Anmerkung: Online resource; Title from title screen (viewed September 23, 2019)
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  • 12
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838980689
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 10 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artificial intelligence, machine learning, and deep learning neural networks are the most used terms in the technology world today. They’re also the most misunderstood and confused terms. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans, while machine learning and neural networks are two subsets that sit within this vast machine learning platform. But in this course, you will focus mainly on machine learning, which will include preparing your machine to make it ready for a prediction test. You will be using Python as your programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. Machine learning and data science jobs are among the most lucrative in the technology industry in recent times. Exploring this course will help you get well-versed with essential concepts and prepare you for a career in these fields. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-and-Data-Science-with-Python-A-Complete-Beginners-Guide . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed May 29, 2019)
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  • 13
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789612684
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Build beautiful, modern, and modularized UIs with React’s latest version About This Video Understand the core concepts involved in thinking and structuring code in React. Jump straight into any React project. Use tools and resources to accomplish your goals. In Detail Want to make the process of building modular, reusable user interface components simple and intuitive? React.js is the answer, with its Learn Once, Write Anywhere approach. This course will help you understand the power behind this approach and build beautiful, modern, and modularized UIs with React’s latest version. This course will cover all of the React.js basics such as its API, which will help you create elements and components; the virtual DOM and the JSX syntax extension; using state; working with browser events; and component lifecycle methods. You will build an application from scratch throughout the course and use the knowledge you've gained in a practical way. You will also learn to update various elements of a site or application seamlessly without delay, without disrupting the rest of the display or requiring the user to refresh. Also, get introduced to the new concept of hooks.. Finally, you will work with a server API to persist data using local storage.(Note that we use Node.js 10.13.0 for this course, which will run successfully with the React features we cover.) By the end of the course, you will be fully capable of using ReactJ.js tools to build several UI elements, making them reactive to user input, and extending your knowledge of DOM manipulation to customize your own UIs in the future. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learning-React . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 30, 2019)
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  • 14
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 6+ Hours of Video Instruction Overview Kubernetes in the Data Center LiveLessons focuses on using the fundamental Kubernetes components and learning how they are installed. The goal is to help you understand what the components are so when troubles arise you have the tools to be able to fix them. The course is primarily made up of instruction and demonstrations delivered by a seasoned expert, Vallard Benincosa. Vallard, who has experience working with Cisco and IBM, is currently a senior engineer at a small startup called Zenabi. He helped develop a Kubernetes certification for the Linux foundation and has been using Kubernetes since 2015. Kubernetes in the Data Center LiveLessons walks you through Kubernetes on prem, hardware, and Linux configurations, installation, applications storage, and networking. It also gets in to running Kubernetes, as well as monitoring and securing it. The course covers a wide gambit of technical areas and explores many of the exciting Kubernetes opensource add-ons to make your system more complete. This includes Kubernetes, Docker, Ubuntu Linux, Minio, Ceph, and many networking concepts such as overlay networks, service meshes, load balancing, ingress controllers, and proxies. About the Instructor Vallard Benincosa a senior engineer at a small startup called Zenabi. Prior to joining Zenabi in February 2019, he was a software solutions architect with Cisco for 7 years. Prior to Cisco, he started a company that specialized in bare-metal operating system installations for Linux clusters. He also has experience with IBM designing, implementing, and managing some of the largest bare-metal high-performance computing clusters in the world. He helped develop a Kubernetes certification for the Linux foundation and has been using Kubernetes since 2015. In his day job, he works on data ingest systems for analytics, advertising, and recommendation engines, using Kubernetes in the cloud and on prem. Skill Level Intermediate/Advanced Learn How To Architect a Kubernetes cluster on bare metal in the data center. Install Kubernetes on bare-metal servers. Pick and deploy the correct overlay network for your Kubernetes cluster. You will become familiar with several options and understand the trade-offs between different solutions. Understand and deploy distributed storage solutions with Kubernetes to offer persistent volumes. You will then use these to deploy stateful services. Monitor and troubleshoot your Kubernetes cluster. Run a...
    Anmerkung: Online resource; Title from title screen (viewed September 30, 2019)
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  • 15
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484249185
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create your own Apple Watch applications by learning the basics of Xcode and Swift, the programming language used for Apple application development. In this video, step-by-step instructions teach you how to independently navigate and utilize Apple’s development toolkit and Xcode program. By the end you will be able to write functional code in Swift and engineer your own basic Apple Watch applications. What You Will Learn Create several basic Apple Watch applications using Apple’s Swift programming language Download Xcode and master its essential elements Follow an example app to see just how apps are built Who This Video Is For Beginners who have little or no exposure to programming. The course stresses explaining industry jargon, navigating several components of Xcode, and introducing important Swift commands.
    Anmerkung: Online resource; Title from title screen (viewed April 6, 2019)
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  • 16
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484249598
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 35 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Discover how to write for the web: either for your own brand or as a service that you provide to others. This video will include how to write a blog post, how to write website copy, how to write a persuasive sales script, and how to write SEO articles. The focus will always be on providing value and on understanding the value proposition of the brand that you are writing for. From there, you will look at methods you can use to grab attention, communicate clearly, keep the reader engaged and to encourage an emotional response. You'll cover the importance of content marketing for exposure as well as building trust, and just why writing is in many ways the currency of the web. Content is what brings the vast majority of people to a website. They search Google for content, they return to a website because they enjoyed the content. It is also what sells a product – and simply by improving a sales script, a company can massively increase conversions. Companies that don’t understand how to write for the web will therefore be at a massive disadvantage. This is common to see: we all have encountered countless business sites with muddled messages that fail to explain what the company actually does and why the reader should care. What You Will Learn Study methods you can use to increase engagement and grab attention Understand the role of content and content marketing Write content for email, white papers, press releases, and more Who This Video is For Businesses that are currently failing to make a splash with their websites and social media, or that could be doing better. Anyone looking to increase sales of a product, to increase regular visitors to a blog, or to learn a valuable skill they can sell/use to augment a web development business.
    Anmerkung: Online resource; Title from title screen (viewed May 4, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 hr., 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Linux Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Electronic videos ; local ; Linux ; Electronic data processing personnel ; Certification ; Examinations ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 20+ Hours of Video Instruction Description CompTIA Linux+ has more than 20 hours of comprehensive video training so you have everything you need to prepare for the CompTIA Linux+ exam and also build a strong understanding of working with Linux. This title includes a copy of Linux Fundamentals LiveLessons. Overview CompTIA Linux+ Complete Video Course has more than 20 hours of comprehensive video training covering all of the objectives on the CompTIA Linux+ exam. Expert author and trainer Sander van Vugt will walk you first through Linux basics with 10 hours of essential concepts in his Linux Fundamentals LiveLessons title. You will then get a deep dive into core Linux topics. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, and hands-on labs, so you have everything you need to study for - and pass - the CompTIA Linux+ exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons, a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the CompTIA Linux+ exam, including advanced user settings, storage management, managing server roles, and both common and advanced system administration tasks. Each lesson ends with a lab so you can practice your own skills as you complete the course. The labs are built so you first have the opportunity to walk through a task on your own. Each lab is then followed by a Lab Solution, where the author walks you through the most efficient way to complete the lab. This accessible self-paced video training solution provides learners with more than 20 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the CompTIA Linux+ exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering...
    Anmerkung: Online resource; Title from title screen (viewed July 10, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 7+ Hours of Video Instruction Overview More than 7 hours of video instruction to prepare you to pass the Certified Blockchain Developer—Hyperledger Fabric (CBDH) exam and develop your skills in the emerging and in-demand blockchain arena. Overview In Certified Blockchain Developer—Hyperledger Fabric (CBDH) Complete Video Course , seasoned IT veteran and current blockchain subject matter expert, Joseph Holbrook, provides an in-depth exploration of developing blockchain solutions, which are quickly becoming the de facto, decentralized method for verifying and tracking cryptocurrency and other digital transactions. While the primary objective of this LiveLessons video course is to provide you with all of the information you need to prepare for and pass the Blockchain Training Alliance CBDH exam, the course also delves into planning and preparing production-ready applications for the Hyperledger blockchain; learning how to work effectively with blockchain engineers and technical leaders; select appropriate Hyperledger blockchain systems for various use cases; and write, test, and deploy secure chain code. Whether you are seeking to gain the CBDH certification or simply looking to enhance your blockchain development skills, Joseph Holbrook’s instruction through deep-dive discussion, whiteboarding analysis, and practical demos will ensure that you boost your confidence and skills in working with this burgeoning disruptor approach to digital transactions. The Certified Blockchain Solution Architect (CBDH) exam is an elite way to demonstrate your knowledge and skills in this emerging space. Additionally, you will become a member of a community of Blockchain leaders. About the Instructor Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a US Navy flagship. He has migrated from UNIX world to Storage Area Networking (SAN) and Enterprise Virtualization and Cloud Architectures and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf. He also has been a published course author on Linkedin Learning, Udemy.com, INE.com and Pearson Safari. He is also author of a new book due to be released in early 2019 on “Architecting Enterprise Blockchain Solutions” Currently he is a recognized industry expert specializing in Enterprise Cloud and Blockchain Technologies. He...
    Anmerkung: Online resource; Title from title screen (viewed January 28, 2019)
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  • 19
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 12+ Hours of Video Instruction Overview Even though the CCNA certification is an associate level program, exam candidates are expected to have a basic knowledge of IP addressing, knowledge of networking fundamentals, and some experience deploying and managing Cisco solutions. CCNA 200-301 Foundations LiveLessons provides you with the pre-requisite knowledge needed to begin your CCNA exam preparation. Assuming no previous knowledge, this comprehensive networking fundamentals course covers the theory and operation of multiple networking technologies, all designed to lay a strong foundation for your CCNA studies and beyond. About the Instructor Kevin Wallace, CCIEx2 (Route/Switch and Collaboration) #7945 With Cisco experience dating back to 1989, Kevin has been a Network Design Specialist for the Walt Disney World Resort, a Network Manager at Eastern Kentucky University, an instructor for Cisco Learning Partners, an author of multiple Cisco Press books, and a Distinguished Speaker at Cisco Live. Currently, Kevin owns and operates Kevin Wallace Training, LLC (kwtrain.com), a provider of self-paced training materials that simplify computer networking. Skill Level Beginner Learn How To In this course, you’ll learn the fundamentals of networking, to get you prepared to begin your Cisco CCNA studies. Specifically, you’ll learn the basics of the following topics: protocols and reference models, network devices, network topologies, network services, WAN technologies, cables and connectors, Ethernet switches, wireless networking, network addressing, routing, unified communications, cloud and virtualization, network security, network monitoring and management, high availability, and quality of service. Who Should Take This Course This course is designed for anyone wanting to work towards their Cisco CCNA certification that has less than two years of networking experience. Course Requirements Since this is an introductory level course, there are no prerequisites. Lesson descriptions Protocols and Reference Models: In this lesson, you’ll learn about commonly used network protocols and how they fit into the OSI Model. Network Devices: In this lesson, you’ll learn about the operation of network devices such as routers, switches, and firewalls. Network Topologies and Categories: In this lesson, you’ll learn about ways to categorize networks based on size and where resources are located. Network Services: In this lesson, you’ll learn about network services suc...
    Anmerkung: Online resource; Title from title screen (viewed August 29, 2019)
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  • 20
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983383
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Anmerkung: Online resource; Title from title screen (viewed May 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Automated machine learning (AutoML) enables both data scientists and domain experts (with limited machine learning training) to be productive and efficient. In recent years, AutoML has fostered a fundamental shift in how organizations approach machine learning, making it more accessible to both experts and nonexperts. Most real-world data science projects are time-consuming, resource intensive, and challenging. Besides data preparation, data cleaning, and feature engineering, data scientists often spend a significant amount of time on model selection and tuning of hyperparameters. Automated machine learning changes that, making it easier to build and use machine learning models in the real world. Francesca Lazzeri and Wee Hyong Tok (Microsoft) lead a gentle introduction to how AutoML works and the state-of-art AutoML capabilities that are available. You’ll learn how to use AutoML to automate selection of machine learning models and automate tuning of hyperparameters. Topics include: An introduction to AutoML How AutoML works The libraries and cloud services that support AutoML An energy demand forecasting use case How to get started with automated machine learning This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 22
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 36 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Today’s approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it all—leaving organizations increasingly overwhelmed. Simon Crosby (SWIM.AI) shares a new architecture for edge intelligence that turns this thinking on its head. Edge intelligence (encompassing analytics, learning and prediction, and edge computing) can frequently be accomplished on the fly on streaming data, cheaply, at the edge, without data scientists. Simon demonstrates how you can save up to $5,000 a month in cloud processing and storage costs while delivering accurate predictions that can transform outcomes, using well-established architectural pillars, such as the distributed actor model, to process voluminous real-time data at the edge, along with the rich commons of open source analytics and learning tools like Flink and Spark, on nothing more than a $200 device such as an NVIDIA Jetson. The key insight is to use streaming data to build a digital twin model on the fly at the edge, avoiding a ton of complexity and infrastructure costs. Instead, a user defines the entities in their environment (e.g., traffic intersections, compressors, or assembly robots) that deliver data. Using the stateful distributed actor model, you can dynamically build a digital twin (actor) model of the real-world from the data, linking twins based on their relationships. Each digital twin reduces, labels, and analyzes its data and self-trains a machine learning model to predict future performance, at the edge, discarding the original data. This method needs only a tiny fraction of the resources of a big data solution and delivers results in real time. As a result, it bypasses the dev, ops, and data science challenges of edge intelligence, effectively turning devices into data scientists—or at least, building data science twins for entities in the real world. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider, and no clear standards exist in many cases as to what is fair and what is foul. This means that organizations must consider their own principles and risk tolerance in order to implement the right policies. Bill Franks (International Institute For Analytics) explores a range of ethical, privacy, and legal issues that surround analytics today, framing the big questions to consider and detailing some of the trade-offs and ambiguities that must be addressed to answer them. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 24
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Testing in production has gotten a bad rap. People act like testing in production implies you aren’t doing due diligence with your tests before production. But it’s more like a fact of life: you can only catch the easy bugs in staging—the known-unknowns, the things you predicted would fail, and the things that have failed before. Which isn’t nothing, but it’s no better than running tests on your laptop. Most interesting problems are only going to manifest under real workloads, on real data, with real users doing unpredictable things under real concurrency and resource pressure. So you should use much fewer of your scarce engineering cycles poring over staging and much more of them building guard rails for prod. Production—where your customers live—is the only environment that matters. Time spent interacting with nonprod systems is wasted time. Replicas are not valuable for helping build your instincts, your skill set, your intuition. Secondary environments actually train you to expect faulty assumptions and to take dangerous shortcuts and run terrifying commands. You should force people to develop and test on production as much as possible and interact with production every day. Charity Majors (Honeycomb) dives into tooling and shares ways to harden production and make it safe for engineers to do their work directly on it—from deploys and canarying to feature flags, instrumentation and observability, human practices and workflows, and much more. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 4+ Hours of Video Instruction Put learning into practice with Tableau LiveLessons for the aspiring visual data storyteller. There is a data revolution happening across the globe. From academics to politics and everywhere in between, the world’s stories are being told through their data points. Although telling stories about data isn’t new, we are now telling them in ways that are more meaningful and impactful than ever before as an emerging new class of visualizations attempts to tell the world’s stories through the power of data visualization. However, visual data storytelling is not an inherent skill, and data stories differ from traditional storytelling in many ways. Further, while robust visualization tools support rich and diverse forms of visual data storytelling capabilities, crafting a compelling data narrative is not a process that we can rely on a tool to do for us. These lessons provide a hands-on foundation for users to learn how to craft visual data narratives using the most appropriate visualizations, apply visual design to engage their audience, and purposefully structure a narrative framework to deliver a compelling, actionable data story that invites discovery, solicits new questions, or offers alternative explanations–all using one of the most powerful and ubiquitous visualization tools on the market today, Tableau. Skill Level Beginner Learn How To- Tell visual stories that communicate insights and make an impact Leverage questions to design logical and fruitful data collection and analysis Create important graphs in Tableau and know which chart to use Utilize concepts of design in data visualization and storytelling Storyboard your story for your message based on your audience Direct your audience's attention to the most important parts of your data story Design effective business presentations to showcase your data story with Tableau Who Should Take This Course Analysts sharing the results of their data discovery or analysis Students communicating data for reports or presentations Teachers helping learners (of any age) to cultivate visual data literacy Executives and business managers reporting data-driven results or metrics Journalists giving data the starring role in their editorials Course Requirements A willingness to learn how to tell stories through data Access to Tableau Desktop (Windows or Mac), version 10 or higher Related Files The supplemental content for this LiveLesson can be downloaded from Githuub at: https:...
    Anmerkung: Online resource; Title from title screen (viewed February 12, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255650
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 58 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Master SQL Server’s Always Encrypted feature to provide column-level encryption of sensitive data such that only authorized application users can see that data. This video explains how the Always Encrypted feature works and shows how to implement column encryption using best practices. System and database administrators who might otherwise have access to view any data in the database are not able to view data protected through Always Encrypted’s feature set. This video begins with an introduction to column encryption as implemented through the Always Encrypted feature, and the use cases for applying that encryption. Then follows an explanation of how exactly the technology works and is implemented in SQL Server. The video then walks you through implementing Always Encrypted column encryption on a new database and again on an existing database. Finally, the video covers how to configure an application to access the encrypted data in a manner that is transparent and convenient for end users of your database applications. What You Will Learn Recognize use cases for the Always Encrypted feature Understand how the feature works technically Generate an encrypted column for a new table Insert data into an encrypted database column Encrypt existing data within a table Identify the relevant encryption certificates Modify an application to access encrypted data Who This Book Is For Database administrators, application developers, and system architects who need to encrypt and protect data in a SQL Server instance. Especially helpful when it must be ensured that database administrators and system administrators do not in any way have access to encrypted data.
    Anmerkung: Online resource; Title from title screen (viewed October 25, 2019)
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  • 27
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 55 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Stablecoins—cryptocurrencies designed to avoid volatility—have been tried various times in the past with little to no success. Today, they're seeing a resurgence, as multiple firms work to develop their own stablecoins in an effort to solve the volatility crisis in cryptocurrency. Although nascent, these deployments have seen a wide amount of traction with both trading and application. But does the increased interest in stablecoins actually assuage the volatility crisis, and what does it mean for the future of blockchain-enabled businesses? In this edition of Spotlight on Learning from Failure , find out how stablecoins work, what opportunities and risks they present, and what to expect in the future with regard to the greater blockchain landscape. Wayne Chang will explain the history of stablecoins, how they solve for volatility issues in businesses and applications, and how they’ve been implemented over time. Wayne will also discuss the trade-offs between different stablecoins and how they fit into existing business models in order to drive value. Recorded on May 28, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 59 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Artificial intelligence can be intimidating. There are complex, sticky challenges of data collection and verification, algorithms and bias, and deploying AI services to production, plus ever-expanding ethical concerns. New trends in hardware, algorithms, tools, and data ecosystems are quickly transforming AI into a must-have for today’s organizations. Progress is accelerating, but so are obstacles; a successful, real-world implementation of AI depends on balancing many interdependent concerns. Recorded on March 13, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed August 1, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber’s Zhenxiao Luo details the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs. Recorded on June 17, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 51 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Security is an ever more important topic for system designers. As our world becomes digital, today’s safely hidden back office system is tomorrow’s public API, open to anyone on the internet with a hacking tool and time on their hands. So the days of hoping that security is someone else’s problem are over. The security community has developed a well-understood set of principles used to build systems that are secure (or at least securable) by design, but this topic often isn’t included in the training of software developers, who assume that it’s only relevant to security specialists. Even when principles are explained, they’re often shrouded in the jargon of the security engineering community, and so mainstream developers struggle to understand and apply them. Eoin Woods (Endava) explains why secure design matters and then introduces a set of 10 of the most important proven principles for designing secure systems, distilled from the wisdom of the security engineering community. He discusses each principle in the context of mainstream system design, rather than in the specialized language of security engineering, focusing on how it’s applied in practice to improve security. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838824921
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 11 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Learn and master the skills required for SAS proficiency and SAS Base certification, including SQL procedures and macros About This Video Coverage of the technical and analytical concepts of SAS, from beginner to expert level Learn the fundamental principles and benefits of SAS to perform tasks ranging from data exploration to data manipulation and report generation Understand advanced concepts such as macro programming and running SQL queries in SAS In Detail Are you looking to become a data analyst or data scientist? If so, there are various tools and techniques to implement data analytics, but SAS offers many benefits as your first programming language to master: it’s easy to learn and has a user-friendly GUI. To date, it holds the highest market share of all the analytics tools available. If you have little or no programming background and want to get started with SAS, then this is the right course for you! This course will help you become a confident and proficient data analyst and SAS programmer by giving you the hands-on knowledge and in-depth understanding of the SAS programming suite and how to utilize it effectively. Additionally, it will help you master different techniques in SAS to manipulate your data. You’ll learn how to work with SQL queries and generate effective data reports. Moreover, this course will provide all the content you’re looking for to prepare for the SAS Base certification exam. By the end of this course, you’ll have a thorough understanding of the fundamental SAS concepts, along with rich hands-on experience of the SAS suite. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/SAS-in-Practice . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 30, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Uber’s analysts and engineers wanted to run real-time analytics with deep learning models. But copying data from one source to another is pretty expensive. Zhenxiao Luo explains how Uber supports real-time analytics with deep learning on the fly, without any data copying. He starts with the company’s big data infrastructure, specifically Hadoop, Spark, and Presto, and discusses how Uber uses Presto as an interactive SQL engine and deployed Hadoop Distributed File System, Pinot, MySQL, and Elasticsearch as storage solutions. He then details how Uber built a Presto Elasticsearch connector from scratch to support real-time analytics on heterogeneous data. He concludes by sharing the company’s production experience and roadmap. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839212956
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more! About This Video No prior knowledge of Python is required. You will learn how to write clean and proper Python code as we take you through the concepts, some example projects, and the proper programming structure. Acquire the prerequisite Python skills to move into specific branches of web development, data science, image processing, and more. In Detail Welcome to "Python Programming A-Z – Learn Python Programming by Building Five Projects," a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: Basics of Python programming – expressions, variables, and printing output Python operators – the Python assignment operator, relational and logical operators, and short circuit operators Python conditionals and if statements Methods – parameters, arguments, and return values Object-oriented programming – classes and objects Encapsulation, inheritance, and abstract classes Python data structures in-depth – lists, sets, dictionaries, and tuples Conditionals – if/else statements and nested if/else Loops – for loops, while loops, break, and continue The mutability and immutability of Python’s basic types Built-in and user-defined modules Errors and exception handling – try, except, else, and finally Custom exceptions – raising exceptions and creating and raising a custom exception Data analysis with Pandas Face recognition with OpenCV Building a GUI application with Tkinter An automated Twitter bot with Tweepy Understanding the basics of databases and working with SQLite 3 Five projects with OpenCV, pandas, PyTube, Tkinter, Tweepy, and more After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself! Most importantly, you will be ready to use the huge scope offered by Python programming.
    Anmerkung: Online resource; Title from title screen (viewed October 11, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 149 hr., 54 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The 2019 Strata Data Conference NYC, the biggest Big Data conference in the world, was a massive success. Packed with thousands of attendees, Strata gathered the world's top data practitioners to provide expert guidance on the tools and technologies you need to make your data strategies and projects work today. This video compilation holds the best of Strata NYC 2019's keynotes, tutorials, and technical sessions. Looking for a head start on the data techniques and technologies you need to succeed? This compilation points the way forward by offering you hours of material to study and absorb at your own rate. The compilation includes such gems as Data Engineering and Architecture sessions, where you'll learn how to select the right type of data infrastructure and architecture to streamline your workflows, reduce costs, and scale your data analysis; Data Science, Machine Learning (ML) and AI sessions, where you'll learn how to use text mining, real-time analytics, large-scale anomaly detection and other techniques to discover the hidden insights in your data; and all of the best talks from the Strata Business Summit, where you'll receive an insiders-only look at the processes and technologies some of the world's most successful companies used to develop their own data strategies. Highlights include: A front row seat at 2019's Strata Data Conference NYC best keynotes, tutorials, and technical sessions—contains hundreds of hours of material to study and absorb at your own pace. Keynote speeches from Big Data's most inspiring business visionaries, such as Sara Menker (CEO, Gro Intelligence), Cassie Kozyrkov (Chief Decision Scientist, Google Cloud), Swatee Singh (VP Big Data/ML, American Express), and Robert D. Thomas (GM, IBM Data and AI). Deep dive tutorials including Jules Damji's (Databricks) sold out session on managing the complete ML lifecycle with MLflow; Karthik Ramasamy's (Streamlio) review of serverless streaming architectures and algorithms for the enterprise; and Mark Donsky (Okera) on how to secure your data lakes to meet the rigors of CCPA privacy regulations. Data Engineering and Architecture sessions, including Navinder Pal Singh Brar (Walmart Labs) on building multitenant data processing and model inferencing platforms with Kafka Streams; Paige Roberts (Vertica) on the whys and hows of putting large stateful applications into containers and Kubernetes; Tomer Levi (Fundbox) on using AWS Step Functions, Docker containers, and ECS Farg...
    Anmerkung: Online resource; Title from title screen (viewed September 25, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 63 hr., 23 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The O'Reilly Software Architecture Conference San Jose 2019 (SACON) gathered the world's leading software architects and engineers to give presentations on software architecture's most useful technologies, trends, and techniques. This video compilation gives you complete access to the best of SACON's keynotes, tutorials, and technical sessions. It contains hours of material to review and study at your own pace. Whether you are optimizing legacy systems or migrating to cloud native architecture, this compilation from SACON San Jose 2019 offers you the insights and training you need to get to the next level. Highlights include: Contains hours of video recordings from the best of SACON San Jose 2019's keynotes, tutorials, and technical sessions. 3.5 hour tutorials like Christian Hernandez's (Red Hat) hands-on introduction to Kubernetes and OpenShift; Nathaniel Schutta's (Pivotal) deep dive into trade-off analysis and how to use it to strategically choose the correct technology for your projects; and Valentina Rodriguez's (Independent) reveal of the twelve essential principles of architecture design in Agile environments. Keynotes from Rebecca Wirfs-Brock (Wirfs-Brock Associates), Michael Feathers (R7K Research and Conveyance), Adam Tornhill (Empear), Rebecca Parsons (ThoughtWorks), and Neal Ford (ThoughtWorks). Application Architecture sessions, such as Stefania Stefansdottir's (ThoughtWorks) walk through of the practices all new architects and tech leads should keep in mind when starting a new project; Ian Varley (Salesforce) on spotting and correcting the cognitive biases that undermine your software architecture; and Andrew Bonham and Thiagarajan Subramanian's (Capital One) review of how to use reactive architecture and microservices, machine learning, H20, Akka, and Kafka. Microservices sessions, including Kasun Indrasiri's (WSO2) in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and more; Nathaniel Schutta (Pivotal) on the factors used to decide if something deserves to be a microservice or not; and Samir Behara (EBSCO) on building scalable microservice architectures with Envoy, Kubernetes, and Isti. Enterprise Architecture sessions, including Heidi Waterhouse (Launch Darkly) on the smartest ways to achieve build-versus-buy decisions; Cat Swetel (Ticketmaster) on using value network mapping and real options theory to evolve monolithic software; and Paula ...
    Anmerkung: Online resource; Title from title screen (viewed June 13, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. The Artificial Intelligence Conference London 2019 gathered some of the globe's top AI practitioners to speak about AI's most promising developments, emerging technologies, and profitable use cases. This video compilation provides you with the best that AI London 2019 had to offer. It includes thought provoking presentations from such AI luminaries as Ariadna Font Llitjós, the director of engineering at Twitter’s Cortex Machine Learning Platform; Martin Goodson, the chief scientist at Evolution AI; Jeff Jonas, the founder and CEO of Senzing; Kim Hazelwood, the senior engineering manager who leads AI infrastructure research efforts at Facebook, and many more of AI’s top data scientists, software engineers, and business strategists. AI is changing fast and it’s transforming business even faster. To see where AI is going (and the entirely new business models and procedures it enables), get this compilation and you’ll be ahead of the curve. Highlights include: Complete video recordings of AI London 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of material to study, review, and absorb at your own pace. Keynote presentations from AI’s most notable thinkers, including Intels’ Alexis Crowell Helzer, IBM’s Ritika Gunnar, Dell Technologies’ Arash Ghazanfari, and more. Hours of fact-packed AI, ML, and DL tutorials from top AI practitioners like Robert Crowe (Google) on ML pipelines, TensorFlow Extended pipelines, and ML production deployment issues; Danielle Dean (iRobot) on training and deploying Python models in Azure; and Sergey Ermolin (AWS) on how to use reinforcement learning to build recommendation systems with AWS SageMaker RL. Members-only access to every AI Business Summit Executive Briefing/Best Practices session: Twenty hard-nosed presentations that provide an insider’s look at the AI implementations that will impact your business the most. Implementing AI sessions, including Carlos Rodrigues's (Siemens) look at how Siemens fights cybercrime with AI; Alex Ingerman's (Google) introduction to Federated ML, a new decentralized form of ML; Siddha Ganju's (NVIDIA) discussion of how to set-up deep learning on mobile devices; and Thomas Phelan (HPE BlueData) on how to spin up GPU-enabled AI, ML, and DL clusters in Docker containers...
    Anmerkung: Online resource; Title from title screen (viewed October 16, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The companion videos for Learning Amazon Web Services (AWS) , the The Practical, Foundational Technical Introduction to the World’s #1 Cloud Platform Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon’s Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency
    Anmerkung: Online resource; Title from title screen (viewed August 3, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251799
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create and build fun and engaging robot projects with LEGO Mindstorms EV3. In this video, you’ll start by designing and naming your projects. Then give them life by connecting and controlling them for wire free movement with Bluetooth. Try out easy challenges, such as getting your robot to move the length of a yardstick then come back. Discover the basics of programming by teaching your robot to make sounds and display images. Incorporate sensors so that your robot can interact with and react to the world around it. And incorporate loops with the ultrasonic sensor to program a robot that can autonomously move around a space forever. With this video, you'll discover all the basic tools and skills needed to create awesome robotics projects using LEGO Mindstorms. What You Will Learn Connect your robot to a computer using Bluetooth or a wired connection Move your robot with rotations, time, speed, and direction Program your robot to make sounds and display images Incorporate sensors so that your robot can discover the world around it Who This Video Is For Students, hobbyists, and instructors interested in using LEGO Mindstorms to learn programming and robotics.
    Anmerkung: Online resource; Title from title screen (viewed July 3, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484253755
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create reusable, scalable, and spatially concise models of smart buildings that connect data across the physical and digital world using this video. For example, using Azure Digital Twins, you can define the location of offices at your place of business. Inside each office there are IoT devices with specific sensors (for example for temperature or lights). You can assign users to each room, so you have a clear view of the distribution of people in the office. This video begins with a gentle introduction to the Azure Digital Twins service, offering an overview and discussion of the key concepts related to it. From there you will progress through data processing and user-defined functions and learn about real IoT device integration with Azure Digital Twins. You will learn about Azure Digital Twins object models and spatial intelligence graph. In this new era of smart buildings, this video enables you to visualize comprehensive virtual representations of physical environments and all the associated devices, sensors, and people within it. You will be able to create definitions of spaces and combine them together with information about connected devices and sensors so that you can manage and implement resources with precision. What You Will Learn Create new Azure Digital Twins service instances Understand Azure Digital Twins object models and spatial intelligence graphs Work with data processing and user-defined functions Quickly connect IoT devices to Azure Digital Twins and create space definitions Discover routing events and messages Look at the limitations and additional resources for implementing solutions Who This Video Is For This video is for specialists, developers, and architects who are tasked with creating smart building solutions.
    Anmerkung: Online resource; Title from title screen (viewed August 19, 2019)
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  • 40
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In recent years, we’ve seen tremendous improvements in artificial intelligence, due to the advances of neural-based models. However, the more popular these algorithms and techniques get, the more serious the consequences of data and user privacy. These issues will drastically impact the future of AI research—specifically how neural-based models are developed, deployed, and evaluated. Yishay Carmiel (IntelligentWire) shares techniques and explains how data privacy will impact machine learning development and how future training and inference will be affected. Yishay first dives into why training on private data should be addressed, federated learning, and differential privacy. He then discusses why inference on private data should be addressed, homomorphic encryption and neural networks, a polynomial approximation of neural networks, protecting data in neural networks, data reconstruction from neural networks, and methods and techniques to secure data reconstruction from neural networks. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We fret about how to break system knowledge out of knowledge silos—the expert individuals with a deep intuitive understanding of our complex systems. How do these people engage with the system and act to protect, fortify, and improve it? How can engineering organizations protect and fortify experts as a key part of their observability strategy? Beth Long (New Relic) explains how those experts represent both a vulnerability and a strength and why understanding them as a key mechanism in your larger systems helps you harness their power and protect against fragility. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 42
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these pieces to study how some of the most advanced companies on the planet not only use technology but build their culture to support it.
    Anmerkung: Online resource; Title from title screen (viewed August 25, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Much progress has been made over the past decade on process and tooling for managing large-scale, multitier cloud apps and APIs, but there is far less common knowledge on best practices for managing machine-learned models (classifiers, forecasters, etc.), especially beyond the modeling, optimization, and deployment process once these models are in production. A key mindset shift required to address these issues is understanding that model development is different than software development in fundamental ways. David Talby (Pacific AI) shares real-world case studies showing why this is true and explains what you can do about it, covering key best practices that executives, solution architects, and delivery teams must take into account when committing to successfully deliver and operate data science-intensive systems in the real world. Topics include: Concept drift (Machine-learned models begin degrading as soon as they’re deployed and must adapt to a changing environment.) Locality and limited reuse and generalization of models A/B testing challenges, which make it very hard in practice to know which model will perform better in production Semisupervised and adversarial learning scenarios, which require modeling and optimizing models only once they’re in production The impact of all of the above on product planning, staffing, and client expectation management This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. The first step uses anomaly detection algorithms to discover anomalies in a time series in the training data. In the second, multiple prediction models, including time series models and deep networks, are trained, enriching the training data with the information about the anomalies discovered in the first step. Anomaly detection for individual time series is a necessary but insufficient step due to the fact that anomaly detection over a set of live data streams may result in anomaly fatigue, thereby limiting effective decision making. One way to address the above is to carry out anomaly detection in a multidimensional space. However, this is typically very expensive computationally and hence not suitable for live data streams. Another approach is to carry out anomaly detection on individual data streams and then leverage correlation analysis to minimize false positives, which in turn helps in surfacing actionable insights faster. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. They also showcase how deep learning can be leveraged to learn nonlinear correlation, which in turn can be used to further contain the false positive rate of an anomaly detection system. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As microservices, data services, and serverless APIs proliferate in a cloud native world, analysts still need to report on the business as a whole. Data engineers need to collect and standardize data in an increasingly complex and diverse system. Luckily, the problem is also the solution. The way to manage data in a cloud native environment is to build cloud native data pipelines. Gwen Shapira (Confluent) discusses how data engineering requirements have changed in a cloud native world and how the solutions have changed with them. She then shares architectural patterns that are commonly used to build cloud native data infrastructure and explains how they help you build flexible, scalable, and reliable pipelines to give your business visibility on all your data. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 14 hr., 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Anmerkung: Online resource; Title from title screen (viewed October 15, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484253106
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 6 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create a basic application flow with SwiftUI involving login and a user dashboard interface in this video. Discover the new file structure introduced by SwiftUI and how it uses structs instead of classes for Views. Then learn about common layout elements such as Text, Images, HStack, VStack, ZStack, and NavigationViews. After understanding the structure and elements, dive in to create a login layout and a user authentication backend. Then once you've got your user logged in, create a dashboard layout for your users with SwiftUI. Finally learn to troubleshoot and polish up your new interfaces. What You Will Learn Create login and dashboard interfaces Troubleshoot common SwiftUI interface issues Incorporate NodeJS for authentication and backend work Who This Video Is For iOS developers with a basic familiarity of the Swift language who would like to use SwiftUI to design easy, elegant, and powerful interfaces.
    Anmerkung: Online resource; Title from title screen (viewed August 19, 2019)
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  • 48
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255667
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: This video provides you with a baseline understanding of Azure Networking. It begins with an introduction to the high-level architecture of Azure Virtual Networks so that you can become familiar with the core capabilities, concepts, and settings of this technology. From there you will gain a basic understanding of firewall security, and discover how to leverage it using Network Security Groups and Application Security Groups. Then it is on to an overview of Azure load balancing services, including Azure Load Balancer, Azure Traffic Manager, and Front Door. Finally, you will learn about VPN Gateways and how they facilitate Azure VNet-to-VNet communication, as well as hybrid connectivity between on-premises and Azure networks. Networking is the cornerstone of any data center. While it is not entirely different in a cloud environment like Azure, you will discover that building a cloud networking stack also has its own eccentricities. For example, you will no longer be managing the physical layer, and not all services are available the same way as on-premises. All these quirks are covered in this video. After viewing Azure Networking Fundamentals you will be ready to get started in building and deploying your own enterprise-ready networking designs in Azure and/hybrid networking scenarios. What You Will Learn Gain a high-level view of Azure networking services and features and how to deploy them See new features including Azure Firewall and Azure Front-Door Protect and secure cloud applications in IAAS and PAAS. Follow along with to-the-point demos; learn by doing Apply the exact steps as guidelines in your own Azure environment Who This Video Is For IT professionals, system architects, cloud administrators, solution architects, and anyone who wants to learn about deploying infrastructure as a service in Azure public cloud. Having a base understanding of IPv4 and IPv6, networking concepts, firewalling, routing, load balancing, DNS, and IP addressing is beneficial.
    Anmerkung: Online resource; Title from title screen (viewed November 6, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: You’ve spent hundreds of hours cleaning your data, engineering features, and training and tuning your model to pinpoint accuracy. But now it’s time to deploy your model into production. Whether you lead a team of data scientists or are one yourself, you know how time-consuming and problematic deployment can be. Language and environment incompatibilities, manual and duplicative processes, out-of-control costs, and poor communication can destroy all the work you’ve put into building models and slow your machine learning efforts. Learning common deployment architectures for machine learning in the real world and understanding how to build your model for a production environment can help you avoid pitfalls when scaling up. Diego Oppenheimer (Algorithmia) discusses common problems and solutions and shares best practices from leading organizations that have solved the deployment headache. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838551728
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Efficiently create models that capture design intent with Autodesk Revit About This Video An overview of the major tools needed to build a successful model. A brief discussion of advanced methods used for many of the tools covered. An introduction to creating custom elements to make your design and model unique. In Detail Autodesk Revit boasts powerful tools that allow you to efficiently plan and manage your projects and visualize your designs. You will begin by moving around in Revit before discussing the tools you'll need to begin setting up a project. Then you'll cover the basic tools and methods for building a 3D model using all of the most common tools. Then you will create custom elements that allow you to add a level of detail and design to make your projects unique. You will then learn 2D modeling; we will be looking at many of the tools that help round-out a good drawing set; from dimensions, to two-dimensional linework and fill regions - everything from the stock materials built into Revit, to creating custom textures to get the look you're after. After learning 2D models you will create 3D views, all of the settings that are associated with the internal rendering engine Finally, we will discuss tools and processes by which you can produce a full construction document or presentation drawing set; this will include title blocks, sheets, and custom schedules, as well as how to save a set of drawings as a PDF or print them as hard copies.
    Anmerkung: Online resource; Title from title screen (viewed April 23, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 75 hr., 47 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Why did companies like Intuit, JP Morgan Chase, MasterCard, and BuzzFeed deploy AI and what business advantages have they already reaped from those deployments? How have the toolsets recently developed at Google (BERT) and Microsoft (Project Brainwave) opened up AI as a mainstream business reality? How does IBM's AI Fairness 360 toolkit combat the very real problem of unwanted bias in AI applications? You'll find the answers to these questions and many more in this video compilation of the best talks from AI New York 2019. Containing hours of material to explore at your own pace, this video compilation provides an insider's view of the latest developments in AI. Highlights include:M/p〉 Complete video recordings of the talks delivered at AI NY 2019 by 170 of the world's top AI experts. Keynote addresses from AI's best thinkers, such as MIT's Aleksander Madry, Intuit's Desiree Gosby, Princeton University's Olga Troyanskaya, Netflix's Tony Jebara, Stanford University's Christopher Ré, Facebook's Kim Hazelwood, Carnegie Mellon University's Martial Hebert, and Primer's Sean Gourley, plus a look at Dell's "Sophia", the world’s first robot citizen. All of the Executive Briefings and detailed case studies from the exclusive AI Business Summit, including Kristian Hammond's (Northwestern Computer Science) day long tutorial offering a practical framework for bringing AI into your company; Adam Cheyer's (Samsung) look at how AI enables a totally new form of software development where humans and machines work collaboratively together; and Jennifer Fernick's (NCC Group) learned predictions of the industries that will benefit from the coming intersection of quantum computing, machine learning, and AI. Tutorials by AI's most experienced practitioners, including Gunnar Carlsson (Stanford University) on using topological data analysis to understand, build, and improve neural networks; Bruno Goncalves (JPMorgan Chase) on using recurrent neural networks for time series analysis; and Mo Patel (Independent) on how to build machine learning models in PyTorch. Sessions focused on machine learning, including Alina Matyukhina's (Canadian Institute for Cybersecurity) reveal of the methods dishonest actors use ML to mimic the coding style of software developers in open source projects; Chakri Cherukuri's (Bloomberg LP) discussion of how to apply machine learning and deep learning techniques in quantitative finance; and Cibele Montez Halasz's (Twitter) description of time...
    Anmerkung: Online resource; Title from title screen (viewed April 17, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 17 hr., 14 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: More Than 17 Hours of Video Instruction More than 17 hours of video instruction on Amazon Web Services with coverage on cloud computing and available AWS services, as well as a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more. Overview Amazon Web Services (AWS) LiveLessons is a unique video product designed to provide a solid foundational understanding of the Amazon Web Services (AWS) infrastructure-as-a-service (IaaS) products. The course covers concepts necessary to understand cloud computing platforms, distributed computing, multi-tier architectures, virtual machines, storage, databases, analytics, high availability, and much more. This course has been designed to show just how simple and cost-effective it is to achieve a superior level of high-availability, fault-tolerance, security, and reduced operational burden in your infrastructure and applications. Detailed throughout the course are a number of use cases designed to spark your imagination and exemplify well-architected solutions within the rich and varied ecosystem that is Amazon Web Services. You can also use this video as a secondary resource to help you study for the AWS Cloud Practitioner and Solutions Architect Exams. Since the first edition of this course, AWS has added many new services to their offerings, as well as many new features to existing services. The AWS web-based management console has also seen significant updates and improvements. In this second edition, many of those new services and features are covered, and all new diagrams have been provided to more accurately represent those you will see in a real-world scenario. The new edition also includes all new demos to account for changes in the AWS management console user interface. Amazon Web Services (AWS) LiveLessons contains 14 independent video lessons totaling almost 13 hours of instruction. The videos contain in-depth instruction using live demos, slide instruction, and video captures. Demonstrations of Amazon Web Services and third-party cloud solutions are included to provide necessary context and experience for further study and use of AWS. Skill Level Beginner/All levels Learn How To Get started with AWS, including networking, computing, storage, managing databases, and security Understand cloud-computing platforms, and how AWS fits into them Use EC2, CloudWatch, S3 Buckets, and more Use IAM, VPC, NACLs, AMI, ECS, EKS, EBS, and other various t...
    Anmerkung: Online resource; Title from title screen (viewed March 26, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: It turns out that domain-driven design is not just for cargo shipping. Vladik Khononov (Naxex) explains how he and his team embraced domain-driven design (DDD) (with very limited resources and a very short time to market) at Plexop, a large-scale marketing system that spans over a dozen different business domains. Join in to learn how DDD allowed the team to manage business complexities, find out strategies for defining context boundaries, explore lessons learned the hard way, and discover where they had to adapt the DDD methodology to fit the company’s needs. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838551520
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 37 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Get up and running with the world’s leading game engine. About This Video Learn one of the most popular tools in the industry and develop a 3D game in only 7 days, without any prior knowledge of game development. Learn game-development best practices with relevant and practical examples. Create an interesting 3D game using Unity 2019 for free, with only a few lines of code. In Detail Curious about game development but afraid to get into it because it seems too hard? Fear no more! With this course, you will learn how to develop games with one of the most popular engines in the industry. You will learn only relevant and practical information, and appreciate how it applies to the real world. By the end of this course, you will have a full-scale 3D game, similar to indie favorites such as Dear Esther, Amnesia, and Gone Home. In only 4 hours, you will become an indie developer! Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Unity-Game-Development-in-4-hours . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 22, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 57 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: One of the most difficult business challenges has nothing to do with data or technology—it has to do with people. While it’s fairly easy to assess potential hires’ knowledge and skills, it’s much harder to gauge soft traits like attitude. How can you ensure your first impressions are accurate so you can avoid costly hiring mistakes, and correctly identify rising stars and make the most of their talent? Tony Tjan explains how overlooking personality and attitude in favor of technical expertise can cost you. Make sure you’re never in that situation by learning the most important questions to ask during the hiring process to build a stronger, more successful organization. Recorded on March 26, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Anmerkung: Online resource; Title from title screen (viewed August 27, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 55 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We're experiencing a boom in smart products and services, from virtual assistants like Alexa to robotic surgical tools. But as we design and develop products of increasing complexity—incorporating machine learning to drive autonomous decision making—measuring output and outcomes also explodes in complexity. In the face of all this complexity, how do you design your teams and collaborative processes to ensure a successful product? Teams have to move away from merely seeking “approvals” and toward collaborating on the goals and parameters; they must also target use cases that will make or break the experience for end users. The more dynamic the technology, the wider the range of diverse perspectives that must inform the process. Data scientists, designers, developers, lawyers, and regulators all need to weigh in, and their voices need to be heard and accounted for. Recorded on April 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed September 17, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484250815
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 48 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: This video explains how to create Power BI visuals that provide a good user experience. The video begins by explaining how the common mindset around data visualization is often wrong, and then it suggests a better approach. Report developers are often tempted to make visualizations all about them to show off the data gathered or their report design skills, but reports should be focused on communicating and interacting with the intended audience. This video provides you with practices and guidance toward communicating the right message to your audience without clutter and distraction. Once mindset and goals have been properly aligned, the video discusses the visual tools you have at your disposal when formatting a Power BI visual. These tools include color, shape, and layout. Misapplying these tools can make a visual distracting, ugly, or even misleading. Applying them correctly can make a visual pop and help to communicate the right message, which is the message you are working so hard to get across. Accessibility in report design is also discussed. Demos show how changing seemingly simple attributes on visuals can greatly improve accessibility. Common visualization mistakes are shown, along with examples of how to fix them. In addition to formatting individual visuals, the video discusses how to put them together on a report page to form a coherent analysis. After making an initial draft, it’s time to do a quality check on the report. This video covers what attributes to check and discusses tools to help with your quality checks. Tips are provided on helpful features in Power BI that make good design easier, such as use of report themes and templates, and setting the default visual interaction style. The video will show how to iterate on a report design to improve it based upon findings in the quality checks. The video ends by reviewing the starting point of a report that needed optimization and comparing that to the result after some improvements to see the effect on the user experience. What You Will Learn Take a goals-oriented approach to creating charts and graphs in Power BI Combine color, shape, and layout to create a desired user experience Create reports that effectively communicate the specific message you are working to convey Make Power BI reports accessible for those with visual, motor, and cognitive disabilities Evaluate charts, graphs, and other visuals using a repeatable checklist for optimal display of information Recognize a...
    Anmerkung: Online resource; Title from title screen (viewed June 15, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838829780
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 10 hr., 30 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: Create your own 3D graphics with OpenGL and C++ About This Video Learn to set up an OpenGL window using GLFW and the OpenGL API Grasp the technique of programming with modern OpenGL In Detail With this interactive course, you can now take your first step toward learning modern OpenGL programming. You’ll go through a brief history of OpenGL, which will help you understand why it’s important to explore modern OpenGL with its programmable rendering pipeline over the fixed function pipeline. The course will start by taking you through the basics of getting OpenGL running in a window using the Graphics Library Framework (GLFW). Next, you’ll gain insights into rendering polygons to the display by sending buffers of data to the computer graphics card and programming it using shaders with the GLSL shading language. Later, you’ll learn how to map textures to your objects. The course will also help you set up a virtual camera using keyboard and mouse inputs to enable you to move around in the scene. After you have the fundamentals working, you can go on to building more complex elements. You’ll learn how to load 3D models and add impactful lighting to the scene. With each lesson, you’ll build the framework with reusable C++ and OpenGL code. You’ll start with a blank project and write code each step of the way, with every lesson building on the last. The easy-to-follow approach of this course makes it a suitable option even if you’ve never explored OpenGL. Using the source code, prebuilt third-party libraries, and Visual Studio solutions included in this course, you’ll be able to successfully start with building your own game engine. By the end of this course, you’ll have learned how to set up and render in 3D with modern OpenGL. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learn-Modern-OpenGL-Programming . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 25, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838828943
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 19 hr., 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Build native iOS and Android as well as progressive web apps with Angular, Capacitor, and the Ionic framework About This Video Explore important Ionic components as well as concepts such as navigation (tabs and side-menus), user input, native device features (including camera), storage, HTTP, and authentication Learn how to run your apps in the browser, on an emulator, and on your own device! In Detail Ionic is one of the most exciting technologies you can learn. It enables you to use one codebase (written in HTML, JS, and CSS) to build and ship regular (progressive) web apps as well as native mobile apps for iOS and Android. This course will help you work with the latest version of Ionic from scratch. Angular (formerly Angular 2) allows you to create awesome web applications powered by TypeScript or JavaScript. The Ionic framework allows you to use your Angular knowledge to build web applications that can be compiled into native mobile apps, running on any iOS or Android device, and enables you to publish them as progressive web apps. You’ll use your existing Angular, HTML, JS, and CSS knowledge to build your native mobile apps and discover components that can be used to compose native-like user interfaces. The capacitor will handle the rest as it's used to then build a native mobile app for iOS/ Android based on your code. This allows you to make the most of your knowledge and release your application on all possible devices without having to learn different languages! No wonder that hybrid frameworks like Ionic are extremely popular and in high demand! Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Ionic-4---Build-iOS-Android-and-Web-Apps-with-Ionic-and-Angular . If you require support please email: customercarepackt.com
    Anmerkung: Online resource; Title from title screen (viewed April 26, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 16 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Sponsored by PayPal Middle management support is crucial to the adoption and long term survival of any InnerSource program. But how do you pull that off? In this course, InnerSource expert Silona Bonewald reveals the strategies that will convince middle managers to approve your InnerSource program and support them for doing so. One key to her approach: learn how to measure your program's success. If middle managers can see measurable success, your InnerSource program will thrive. Learners should be familiar with Agile or Lean processes and have a basic understanding of the roles of InnerSource Trusted Committers and Contributors. For best results, please view O'Reilly Media's " Introduction to InnerSource " video before beginning this course. Learn how to build and maintain middle management support for InnerSource programs Understand the Product Owners role in InnerSource Discover the best methods for dealing with escalations and removing bottlenecks Get wise to the numbers your bosses need to see and why they need to see them Explore the best ways to market your team and product to your organization Pick up the ability to create and maintain win/win agreements Learn how to persuade other teams to open their code to your team Silona Bonewald is the Director of InnerSource Engineering at Paypal. A developer and open source advocate since the late 90s, Silonia is a frequent contributor at O'Reilly OSCON conferences, where she speaks about InnerSource and other open source related topics.
    Anmerkung: Online resource; Title from title screen (viewed May 13, 2019)
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    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 8 hr., 12 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Microsoft Windows (Computer file) Study guides Examination ; Electronic data processing personnel Certification ; Electronic videos ; local ; Microsoft Windows (Computer file) ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Kurzfassung: More than 8 hours of video instruction to help you support your organization’s Windows 10 deployment and prepare for Exam MD-100 Windows 10, one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates various aspects of deploying, maintaining, and securing Windows 10 devices and data. You learn methods and technologies that help you install and configure Windows 10, develop device management policies, protect data, improve security, configure networking, and more. If you’re planning to take Exam MD-100 Windows 10, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. You can follow along by building a test lab using virtual machines. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 and Exam Ref MD-101 Managing Modern Desktops and the author of Exam Ref 70-741 Networking with Windows Server 2016 and Exam Ref 70-742 Identity with Windows Server 2016 , published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset, where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy Windows Manage devices and data Configure connectivity Maintain Windows Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Windows 10 administrators preparing for Exam MD-100 Windows 10 Course Requirements Foundational IT skills Basic understanding of and experience with Windows networking
    Anmerkung: Online resource; Title from title screen (viewed September 12, 2019)
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    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 18 hr., 36 min.)
    Ausgabe: 2nd edition
    Serie: LiveLessons
    Schlagwort(e): Computer security Study guides Examinations ; Penetration testing (Computer security) Study guides Examinations ; Hacking Study guides Examinations ; Computer networks Study guides Security measures ; Examinations ; Electronic data processing personnel Certification ; Electronic videos ; local ; Sécurité informatique ; Examens ; Guides de l'étudiant ; Tests d'intrusion ; Examens ; Guides de l'étudiant ; Piratage informatique ; Examens ; Guides de l'étudiant ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Examens ; Guides de l'étudiant ; Computer networks ; Security measures ; Examinations ; Computer security ; Examinations ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Kurzfassung: 18+ Hours of Video Instruction Learn everything you need to know to pass the Certified Ethical Hacker exam. Overview Certified Ethical Hacker (CEH) Complete Video Course provides a complete overview of the topics contained in the EC-Council Blueprint for the CEH exam. With 5 modules containing more than 18 hours of training, this course covers all concepts in the objectives so you can master the knowledge you need to pass the exam. Build your ethical hacking skills with the foundations of reconnaissance, footprinting, enumeration, and vulnerability analysis and dive into hacking web servers, applications, wireless networks, IoT devices, and mobile platforms. Veteran security experts Omar Santos, Nick Garner, and Bo Rothwell provide a thorough foundation through demos and best practices for security risk analysis, as well as hacking tools and methods. With this knowledge, you will be able to confidently mitigate and help guard your network from the multifaceted attacks that you will encounter while also preparing you to pass the CEH exam. Regardless of your level of experience, this video course explores all sides of a multi-pronged cybersecurity attack to ensure that you are prepared to combat attack threats. About the Instructors Omar Santos is an active member of the cybersecurity community, where he leads several industry-wide initiatives and standards bodies. He is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers and incident managers during the investigation and resolution of cyber security vulnerabilities. He is the author of several cybersecurity books and video courses. You can obtain additional information about Omar’s projects at omarsantos.io and h4cker.org. Nick Garner , CCIE No. 17871, is a solutions integration architect for Cisco Systems. He has been in Cisco Advanced Services supporting customers in both transactional and subscription engagements for 8 years. In his primary role, he has deployed and supported large-scale data center designs for prominent clients in the San Francisco Bay area. His primary technical focus outside of data center routing and switching designs is security and multicast. William “Bo” Rothwell has a passion for understanding how computers work and sharing this knowledge with others has resulted in a rewarding career in IT training. His experience includes Linux, Unix, and programming languages such as Perl, Python, Tcl, and BASH. H...
    Anmerkung: Online resource; Title from title screen (viewed July 10, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 4+ Hours of Video Instruction Overview There is a rapid evolution occurring in machine learning with tools like AutoML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production. Noah Gift illustrates just now to harness this technology and deploy it successfully on Google Cloud Platform, demonstrating for developers how to employ the current best practices and automated tools to create analytics applications that solve real-world problems. Developers who want to take their Data Science skills to the next level and build AutoML applications in the Cloud will benefit from this unique course, as they learn how to use AutoML, Big Query, Python, and Google App Engine to create sophisticated AI. Description Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. This LiveLesson covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509 . About the Instructor Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited I...
    Anmerkung: Online resource; Title from title screen (viewed August 8, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484249581
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 28 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Create a brand online through the use of web design, graphic design (Illustrator and Photoshop), outsourcing, social media, and various other strategies. The objective of this video is to help you create a coherent design that speaks to the mission statement of the brand, and that will increase audience engagement and loyalty. The main strategy is to create a brand design that is unique to the business and that has a specific buyer persona in mind (not to try and ‘appeal to everyone’). This will reference Simon Sinek’s ‘Golden Circle’. From there, a logo can be designed or outsourced to reflect that mission statement. This should be simple, re-useable, scalable, and non-cliched, and the design process may involve a mood board. The design should be a vector file and we will look at the technical skills necessary to create such a design. The same branding should then be used through a website, and will help to inform design decisions, as well as across social media. The aim here is 'be everywhere' and 'be consistent'. We will discuss how brand strategy can even influence product design, using Apple as the perfect example. We will also discuss branding in the context of content marketing. What You Will Learn Create a design aesthetic that expresses your company's valuers and ethos Choose a mission statement and find a buyer persona to help you meet your goals Study how you can create and maintain a brand Who This Video is For New startups, entrepreneurs, bloggers, and sole traders looking to create a strong platform online. Businesses currently operating with drab and uninspired branding that are losing potential leads as a result.
    Anmerkung: Online resource; Title from title screen (viewed May 9, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484245385
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Discover how to create a data merge in easy steps and avoid making basic mistakes using this video. You will take each section step by step to gradually advance your skill level. First, you'll learn how to do a single page data merge that you can send to clients or a print house to be part of a mailer. You’ll easily build your first data merge file and acquire all the skills you need to use for your own projects. If you have already designed a form letter for a client mailer in Adobe InDesign, you’ll see that you don’t need to convert it to a Microsoft Word document to create a mail merge. Instead it’s easier to use InDesign’s Data Merge panel to save you time and money. Here you’ll use data from a Microsoft Excel spread sheet, turn it into a CSV file, and do your data merge. Through this video, you'll see how each step is accomplished through sub-menus and dialog boxes in InDesign and Excel. What You Will Learn Preview linked information fields using the Data Merge panel in InDesign Work with special characters Link data using InDesign’s Data Merge panel Merge the data of the form letter into one document Export a created PDF Use the same CSV data for other related InDesign documents Who This Video Is For Students, graphic designers, and corporate administrators who need to create documents for events. You should have some experience in basic layout in InDesign.
    Anmerkung: Online resource; Title from title screen (viewed March 2, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: A unique keynote speech by Yangqing Jia, the leader of Alibaba’s AI and Big Data organization. A revealing talk by Ion Stoica (UC Berkeley) describing some the AI projects underway at UC Berekely's renowned RISELab. A thoughtful presentation by Long Wang, VP of TenCent Cloud, illustrating what TenCent believes AI will do for the cloud. These are just three of the illuminating talks given by the many AI experts from China, the U.S., and elsewhere who gathered to speak at O'Reilly Media's Artificial Intelligence Conference Beijing June 2019. This video compilation gives you the opportunity to see all of the best presentations from AI Beijing—it contains more than 60 hours of material to review on your schedule. AI Beijing's unique focus is applied AI—bridging the gap between AI developments in research and their commercial applications in business and industry. If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)— this video compilation is for you. Highlights include: Complete video recordings from the best of AI Beijing June 2019—this video compilation contains hours of material to review at your own schedule. 55% of the presentations are in English, 42% are in Chinese, and 3% are in English and Chinese. Keynote speeches by AI thought leaders such as Maria Zhang (LinkedIn), Pete Warden (Google Brain Team), Michael James (Cerebras), Hao Zheng (PlusAI), and Tim Kraska (MIT). Tutorials in Chinese, including Intels' Zhen Zhao's exploration into the OpenVINO toolkit and Microsoft's Henry Zeng, Lu Zhang, and Xiao Zhang's introduction to automated machine learning using Python and AutoML. Tutorials in English, such as Alejandro Saucedo's (The Institute for Ethical AI & Machine Learning) practical guide to de-mystifying machine learning bias and Richard Liaw (UC Berkeley RISELab) on how to build reinforcement learning models and AI applications with Ray. "Implementing AI" sessions presented in Chinese, such as Zhenxiao Luo (Uber) on how to run big data and machine learning systems at scale; Hui Xue (Microsoft) on the latest automated machine learning advances at Microsoft Research Asia; and Guoqiong Song (Intel) and Luyang Wang (Office Depot) on how Home Depot's real-time recommendation system was built using Analytics Zoo on BigDL and Apache Spark "Implementing AI sessions" delivered in English, including Google's Kaz Sato's examination of ML operations and Kubeflow pipelines; Rak...
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Over the past decade, Denise Gosnell (DataStax) has helped build some of the largest production applications of graph databases around the world. From those experiences, she’s collected a set of common areas in which teams frequently misstep when getting started with graph technology. It also happens that those themes parallel the experience of playing one of her favorite games, SimCity 2000. Denise walks you through a few of these topics. Know the rules. The introduction of graph data into your application introduces a new paradigm of data modeling: relationship-first design instead of entity-first design. The transition to relationship-first design principles introduces a new set of rules to consider for understanding your application’s performance, just like learning the rules of building a successful metropolis in SimCity . In this section, you’ll dive into the computational overhead introduced into your system from the branching factor and selectivity of your graph traversals. Things can quickly become catastrophic. Relationship-first data modeling can create a sleeping time bomb in your graph data: namely, supernodes. Just like in SimCity , high volumes of progress without proper planning will eventually introduce a catastrophe. To plan for this, you will need to track, mitigate, and eliminate the potential for supernodes within your applications. In this section, Denise introduces supernodes and presents tangible plans for avoiding the disasters which they can create. You’re going to make mistakes. Just like the learning process for understanding the tools and rules for building a successful city, you’ll inevitably make some mistakes when starting down the path of integrating graph technology into your stack. These common mistakes often start out as red herrings that are misinterpreted as graph problems. In this section, you’ll explore three use cases that are frequently misinterpreted as graph problems and learn techniques for avoiding these traps. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 56 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: The power of storytelling has long been used in Hollywood to engage viewers and generate billions of dollars in sales. However, data storytelling, while highly trendy, is frequently misused and often limited to pretty charts. In this Spotlight on Data , learn how to use the power of storytelling with your data to skyrocket user engagement. Get your users to take action by implementing a few proven techniques. Recorded on July 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed July 30, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: If you’re considering Kubernetes, you’ve probably thought about the potential time and cost savings you could stand to gain. At Gannett and USA TODAY, migrating to Kubernetes cut their daily infrastructure spend in half and reduced their network failover time from almost four hours to about 10 minutes. These are huge savings for any company. That said, there were a number of costs to migrating that they didn't anticipate. Gannett’s migration to Kubernetes had a ripple effect through its entire stack—from its CI pipelines to its approach to monitoring and even employee happiness. In this case study, Bridget Lane, Gannett’s manager of developer solutions, details the problems her team faced while migrating and explain how they dealt with them. Recorded on September 19, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Anmerkung: Online resource; Title from title screen (viewed October 4, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: As acute shortages for data scientists and engineers further develop in competitive talent markets, it’s imperative to address biases and bottlenecks in the hiring of data scientists and engineers. Most companies approach hiring and talent management as an art, relying on judgment and experience when conceptualizing jobs, drafting JDs, and screening and assessing candidates. Maryam Jahanshahi (TapRecruit) explains how often-innocuous recruiting decisions have dramatic impacts on hiring outcomes, from the success of a hiring process to the candidate pool composition and the amount of time it takes to hire. She then discusses how using data-driven approaches provide an arbitrage opportunity that has significant impact on both the quality and diversity of candidate pools for data science and engineering roles. Maryam covers the role of confounders in the hiring process, explores the complexity of job descriptions, and shares how she extracted signal from noise to extract the key conclusions she presents. She then presents key hiring heuristics in three vignettes: the one word that creates significant ripple effects at every stage of the hiring process; the surprising way that startups do better in the talent war for data scientists and engineers; and hacking diversity, or how she and her team learned to reproducibly and robustly recruit a diverse pool of data scientists and engineers. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838550813
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 8 hr., 33 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Gain the confidence and proficiency to take up the Salesforce Certified Administrator exam About This Video Powerful combination of theory and hands-on guidance through the Salesforce platform Training content is broken down into bitesize videos that can be re-used as reference videos after your certification Extensive inclusion of Trailhead modules and projects to increase your hands-on experience and learning In Detail Salesforce is a fast-growing business solution suite, constantly improving and adding new functionality to its features. This course will serve as a key guide to help you in your certification journey by covering all the topics to help you update your skills and acquire in-depth knowledge of the Salesforce platform. This course will enable you to sharpen your problem-solving skills and strengthen your knowledge of key topics in a practical way and is ideal for administrators at all levels (new and experienced). Every section will cover a module/topic which will be part of the certification. You will also review some example/mock questions that are highly likely to be asked in the certification exam. After covering basics such navigating the Salesforce environment and application and getting your organization ready for users, you will start by setting up and managing user types and profiles. You will cover data and security and also move on to maintaining and customizing Sales Cloud and Service Cloud apps. You will learn how to build reports and dashboards to maximize the look and feel of the application and to enhance user experience. You will set up workflows for automation and manage the support process. You will also look at the configuration, data management, data analytics, and mobile administration. You will cover techniques to enhance your system management efficiently. By the end of this comprehensive course, you will be confident and proficient in your skills and will be all set to take up and succeed at your Salesforce Certified Administrator exam.
    Anmerkung: Online resource; Title from title screen (viewed July 19, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 27 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: These days, you can’t swing a dry-erase marker without hitting someone talking about microservices. Developers are studying Eric Evans’s prescient book Domain-Driven Design . Teams are refactoring monolithic apps, looking for bounded contexts, and defining a ubiquitous language. And while there have been countless articles, videos, and talks to help you convert to microservices, few have spent any appreciable time asking if a given application should be a microservice. Nathaniel Schutta (Pivotal) shows you a set of factors you can apply to help you decide if something deserves to be a microservice or not. You’ll also look at what you need to do to maintain a healthy micro(services)biome. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Mobile gaming is a $50+ billion industry. Much of the industry’s growth has been fueled by the sale of in-game virtual resources and items to help players progress further or improve their overall gaming experience. One of the biggest concerns for mobile gaming developers is improving their overall monetization without getting in the way of players enjoying the game. KIXEYE—a developer of complex mobile strategy games—periodically provides its player base with a handful of in-app purchase options that provide different in-game content at different price points and discounts. The problem that companies run into using this model is what in-app purchases should be shown and when in order to maximize the number of in-app purchases. This is made more difficult at KIXEYE due to the massive number of in-app purchases available in the company’s games. So how do you solve this problem? Bysshe Easton and Thomas Dobbs explain how KIXEYE used hybrid recommendation engine techniques to create personalized in-app purchase recommendations for its customers, resulting in a 20%+ lift in user revenue. Along the way, they cover some parallelization techniques the company used to nearly eliminate scaling issues. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 46 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. Open source TensorFlow 2.0 is driving the machine learning (ML) revolution around the globe. The TensorFlow World Conference Santa Clara 2019—the first international conference devoted to TensorFlow—provided the thousands who attended the conference with an extraordinary opportunity to see TensorFlow 2.0 in action, discover new ways to use it, and learn how to successfully implement it in their own enterprises. This video compilation offers you the chance to experience the TensorFlow World Conference yourself. If you get it and explore it, you’ll come away with a firm understanding of the entire machine learning stack, TensorFlow 2.0, and the reasons why companies like Spotify, LinkedIn, Amazon, Twitter, and Uber use TensorFlow to solve complex business problems. Highlights include: A front row view for all of the best keynotes, tutorials, and technical sessions from the TensorFlow World Conference Santa Clara 2019. Complete presentations from some of the world’s top TensorFlow practitioners, including talks by the people and teams who developed TensorFlow. Keynote addresses from TensorFlow’s leaders, such as Google Brain co-founder Jeff Dean; Theodore Summe, the head of product for Cortex, Twitter’s central ML organization; and Megan Kacholia, VP of Engineering for Google Research. Deep-dive tutorials, including Laurence Moroney’s (Google Brain) primer on ML with TensorFlow; Sandeep Gupta’s (Google) review of ML in JavaScript using TensorFlow.js; and Neelima Mukiri’s (Cisco) intro to model building and optimization for TensorFlow in any Kubernetes environment. Applications sessions focusing on real-world TensorFlow implementations, like Asif Hasan’s (Quantiphi) talk on using ML to both predict cancer recurrence and recommend treatment; Bhushan Jagyasi’s (Accenture) survey of TensorFlow successes in banking and insurance; and Hamel Husain’s (GitHub) review of automating developer workflows on GitHub with TensorFlow. Core Technologies sessions, where you’ll hear directly from TensorFlow team members such as Paige Bailey (Google) on TensorFlow Swift, a next-generation ML platform; Raziel Alverez (Google) on TensorFlow model optimization techniques; and Robby Neale (Google) on how to build models with tf.text. Accelerators sessions, including Victoria Rege (Graphcore) on h...
    Anmerkung: Online resource; Title from title screen (viewed November 1, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 43 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Unstructured data in the form of documents, web pages, and social media interactions is an ever-growing, ever-more valuable data source for addressing present business problems, from exploring brand sentiment to identifying sensitive information in internal documents. Unfortunately, the classification and annotation algorithms behind solving these problems often require significant amounts of labeled training data to produce desired accuracy. Michael Johnson and Norris Heintzelman (Lockheed Martin) share several techniques they’ve implemented to build classification and NER models from scratch. They lead a tour through this space as it applies to NLP and demonstrate their approach and architecture for the following techniques: Weak supervision for news documents: Using rules base classification alongside deep learning system for text classification Active learning and human in the loop: Explaining how breakthroughs in transfer learning for NLP have impacted their active learning framework for building an LSTM-based relevance model Creative training sets: Identifying and cleaning already-labeled datasets, training classifier on “only” positive examples NER adjudication: Combining knowledge from several annotation sources that leverages the strengths of each source For each of these topics, Michael and Norris outline the theoretical foundation, the implementation architecture, and tools used and discuss the problems they encountered—so you can avoid making the same mistakes.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484244418
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Moving away from a largely proprietary software world and towards OSS can be a big decision. This video helps you ensure that this decision works right for you and your organisation, and that can involve evaluating several different aspects of the move. Also, a number of myths and misbeliefs abound concerning OSS. It is important to separate the facts from the fiction, so you can avoid misleading information that might lead you to make the wrong decision. This video breaks the decision process down into a series of considerations (costs, licensing, quality, and so on). By doing so, you will understand the consequences involved and gain a useful framework for making the decision yourself. This video also educates you about prominent myths concerning OSS, thus helping you avoid being misled when making your evaluations. What You Will Learn Systematically analyse the costs and benefits of moving to OSS Identify and overcome the hurdles in each software domain Who This Video Is For A typical viewer has some experience in terms of programming skill, but they have used only proprietary tools. They are aware of what OSS is, and they are considering moving at least part of their toolset to open source solutions.
    Anmerkung: Online resource; Title from title screen (viewed January 7, 2019)
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789612813
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: An overview of enterprise-ready, modern web development with examples showing popular Angular concepts and strategies About This Video Addresses the challenges you'll meet transitioning to TypeScript from JavaScript Learn key Angular concepts so that you can develop your own powerful web apps Confidently build your own website using Angular and apply what you've learned to practical web development projects In Detail Angular is one of the largest and most widely used frameworks for front-end and full-stack web development; the Angular community is very eager to get hands-on with its latest features. Design patterns allow for a structured and more intuitive way to build applications that are modular, highly scalable and fault-tolerant. This course will serve as a practical and insightful journey through the most valuable design patterns in use, and provides clear guidance on how to use them effectively in Angular. You will explore the best ways to work with Angular and how to use it to achieve the stability and performance required in today's web development world. You'll get to know best practices to improve your productivity and your application's code base. By the end, you’ll be capable using Angular 8 (and future versions) to build better applications that are scalable and high-performing.
    Anmerkung: Online resource; Title from title screen (viewed June 26, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 41 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Machine learning has allowed Twitter to drive engagement, promote healthier conversations, and deliver catered advertisements. Cibele Montez Halasz and Satanjeev Banerjee describe one of those use cases: timeline ranking. They share some of the optimizations that the team has made—from modeling to infrastructure—in order to have models that are both expressive and efficient. You’ll explore the feature pipeline, modeling decisions, platform improvements, hyperparameter tuning, and architecture (alongside discretization and isotonic calibration) as well as some of the challenges Twitter faced by working with heavily text-based (sparse) data and some of the improvements the team made in its TensorFlow-based platform to deal with these use cases. Join in to gain a holistic view of one of Twitter’s most prominent machine learning use cases. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Machine learning is increasingly used to make decisions that affect people’s lives in critical domains like criminal justice, fair lending, and medicine. While most of the research in machine learning focuses on improving the performance of models on held-out datasets, this is seldom enough to convince end users that these models are trustworthy and reliable in the wild. To address this problem, a new line of research has emerged that focuses on developing interpretable machine learning methods and helping end users make informed decisions. Despite the growing body of work in developing interpretable models, there is still no consensus on the definition and quantification of interpretability. Forough Poursabzi-Sangdeh (Microsoft Research NYC) argues that to understand interpretability, we need to bring humans in the loop and run human-subject experiments. Forough approaches the problem of interpretability from an interdisciplinary perspective built on decades of research in psychology, cognitive science, and social science to understand human behavior and trust. She describes a set of controlled user experiments in which researchers manipulated various design factors in models that are commonly thought to make them more or less interpretable and measured their influence on users’ behavior. The findings emphasize the importance of studying how models are presented to people and empirically verifying that interpretable models achieve their intended effects on end users. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 20 hr., 53 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 21+ Hours of Video Instruction Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training for you to have everything you need to study for—and pass—the LFCS exam. Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training on the LFCS exam. You get more than 10 hours of Linux basics in Linux Fundamentals LiveLessons along with a full review of all Linux Foundation LFCS topics. Coverage includes advanced system administration, security, storage management, SSH services, and virtualization. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, hands-on labs, command reviews, and a practice exam so you have everything you need to study for—and pass—the LFCS exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons , a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the LFCS exam—including Advanced System Administration—and managing storage, security, SSH services, and virtualization. Each lesson ends with a lab for you to practice the skills learned in each lesson. These labs also act as training for the hands-on LFCS exam. After Sander presents you with the lab task, you have the opportunity to walk through it yourself. And the end of each lesson is the Lab Solution, where Sander walks through the correct way to complete the lab were you taking the real exam. A full practice exam is also provided so you can fully prepare for the exam. The practice exam sets up scenarios that you will solve and also provides video solutions so you can check your work against the author’s. This is an invaluable part of the study experience. This accessible self-paced video training solution provides learners with more than 21 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the Linux Foundation LFCS exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering that gives you a full...
    Anmerkung: Online resource; Title from title screen (viewed March 6, 2019)
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  • 81
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 82
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255940
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Come up to speed with Java functional programming and write effective Java code with less effort using lambdas and the stream API. Make your Java project code more reliable by using the declarative approach provided by these new Java features. Learn how to leverage the updated collections API to facilitate common functional programming patterns such as map/filter/reduce. If you’ve ever stumbled through constructing for loops and while loops, this video will add to your programming toolbox and allow you to leave such heavy lifting to the stream API. You’ll begin your journey with the syntax of Java lambdas, what they are, and how to use them. You will then be introduced to Java streams and the various ways of creating them for the purpose of processing data. You will also learn about the updates which have been made to the Java collections API for supporting streams. Along the way you will be taught the streams API and how to use the methods defined in the Stream class to process data sources to obtain the results you desire by employing lambdas with the Stream class’ operations. What You Will Learn Write functional interfaces for defining lambdas Master lambda syntax for implementing anonymous functions Create streams associated with data sources Process data through stream operations Use method references for simplifying lambda expressions Discover parallel and sequential streams and how they differ Who This Video Is For Software developers familiar with Java who wish to employ functional programming techniques in their software projects in order to write reliable, compact, and easy-to-read Java code.
    Anmerkung: Online resource; Title from title screen (viewed November 5, 2019)
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  • 83
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    ISBN: 9780135971673 , 0135971675
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 6 hr., 32 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Kurzfassung: 6+ Hours of Video Instruction More than 6 hours of video instruction to help you manage your organization’s Windows 10 desktops and prepare for Exam MD-101 Managing Modern Desktops; one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates how to deploy and update operating systems, manage policies and profiles, protect devices, and manage apps and data. If you’re planning to take Exam MD-101 Managing Modern Desktops, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 , Exam Ref MD-101 Managing Modern Desktops , Exam Ref 70-741 Networking with Windows Server 2016 , and Exam Ref 70-742 Identity with Windows Server 2016 published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy and update operating systems Manage policies and profiles Manage and protect devices Manage apps and data Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Candidates preparing for Exam MD-101 Managing Modern Desktops Course Requirements Experience deploying, configuring, and maintaining Windows 10 and non-Windows devices Familiarity with M365 workloads
    Anmerkung: Online resource; Title from title screen (viewed October 9, 2019)
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  • 84
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: We never change the amount of work or technical debt; we just shift it, and with it, we change how it emerges and appears. Our systems don’t have to be perfect to be operational—planes, networks, and elite athletes all function at extremely high levels even though they are not operating at 100%. As an industry, we have moved the locus of control from hardware to operating system to virtual machine to container to orchestration, and now we’re approaching serverless. None of that has reduced the amount of work you have to do; it just makes it so you can reuse and conceptually compress the work of others. Since we’re making the work in our tools less visible, we also have less control over how they work. We assume the promises that have been true will continue to be true, but that isn’t in our control. Heidi Waterhouse (LaunchDarkly) explains how to handle this level of uncertainty. You’ll learn to add in error budgets, layered access, and other accommodations for failure and to design your systems for function over form or purity. You’ll leave with some concrete ideas about how to add resiliency to your system by learning to trust but mitigate your reliance on perfect performance of your underlying tools. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 85
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 42 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Recommender systems support the decision making processes of customers with personalized suggestions. These widely used systems influence the daily life of almost everyone across domains like ecommerce, social media, and entertainment. However, the efficient generation of relevant recommendations in large-scale systems is a very complex task. In order to provide personalization, engines and algorithms need to capture users’ varying tastes and find mostly nonlinear dependencies between them and a multitude of items. Enormous data sparsity and ambitious real-time requirements further complicate this challenge. At the same time, deep learning has been proven to solve complex tasks like object or speech recognition where traditional machine learning failed or showed mediocre performance. Join Marcel Kurovski (inovex) to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking. The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP5. It also scales well for millions of items and users returning recommendations in tens of milliseconds. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 86
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 31 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Change is the only constant; upgrades are inevitable. Believe it or not, this also applies to your database. There are many drivers for such changes, such as technology stack updates and new data center or event cloud migrations. A database migration isn’t an easy task. Preparation and execution takes time and leaves no room for mistakes. And once you start, there’s no going back. But is this the only way? Adrian Lungu and Serban Teodorescu (Adobe) explain how—inspired by the green-blue deployment technique—the Adobe Audience Manager team developed an active-passive database migration procedure that allows them to test database clusters in production, minimizing the risks without compromising the innovation. It was successfully applied twice to upgrade the entire database technology stack—but it’s never a smooth move when your databases are 200-node Cassandra clusters with hundreds of terabytes of data and downtime is not an option. The first migration was focused only on software upgrades. For the second upgrade, the team’s confidence was so high that they added a twist: a couple of more changes besides the Cassandra version—AWS instance type, operating system, disk settings, memory settings, JVM, and a few more. What could go wrong? Well. . .everything. Adrian and Serban describe the migration technique and present an extensible database client that makes all the active-passive management possible with just a configuration change. Yes, you heard it right. No code changes, just configurations. They then share a series of tales and lessons learned during the migration of over 500 Cassandra nodes. Most of the lessons aren’t Cassandra related but instead apply to hardware, drivers, operating system, or the JVM—debugging for days and searching for that metric anomaly or that log line that would give us a hint on what went wrong. Join in to see how you can avoid some of these pitfalls in your own projects. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 87
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 40 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: More than 7.5 Hours of Video Instruction Overview Nearly every company in the world is evaluating its digital strategy and looking for ways to capitalize on the promise of digitization. Big data analytics and machine learning are central to this strategy. Understanding the fundamentals of data processing and artificial intelligence is becoming required knowledge for executives, digital architects, IT administrators, and operational telecom (OT) professionals in nearly every industry. In Data Analytics and Machine Learning Fundamentals LiveLessons , experienced CCIEs Robert Barton and Jerome Henry provide more than 7 1/2 hours of personal instruction exploring the principles of big data analytics, supervised learning, unsupervised learning, and neural networks. In addition to delving into the fundamental concepts, Barton and Henry address sample big data and machine learning use cases in different industries and present demos featuring the most common tools (such as Hadoop, TensorFlow, Matlab/Octave, R, and Python) in various fields used by data scientists and researchers. At the conclusion of this video course, you will be armed with knowledge and application skills required to become proficient in articulating big data analytics and machine learning principles and possibilities. Skill Level Beginner to intermediate data analytics/machine learning knowledge Learn How To * Understand how static and real-time streaming data is collected, analyzed, and used * Understand the key tools and methods that enable machines to learn and mimic human thinking * Bring together unstructured data in preparation for analysis and visualization * Compare and contrast the various big data architectures * Apply supervised learning/linear regression, data fitting, and reinforcement learning to machines to yield the information results you’re looking for * Apply classification techniques to machine learning to better analyze your data * Exploit the benefits of unsupervised learning to glean data you didn’t even know you were looking for * Understand how artificial neural networks (ANNs) perform deep learning with surprising (and useful) results * Apply principal components analysis (PCA) to improve the management of data analysis * Understand the key approaches to implementing machine learning on real systems and the considerations you must make when undertaking a machine learning project Who Should Take This Course * Anyone who wants to learn about machine learni...
    Anmerkung: Online resource; Title from title screen (viewed April 2, 2019)
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  • 88
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 89
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 44 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 90
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 24 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Analytics and AI are powerful methods for extracting insights hidden in data. However, these methods by themselves cannot convey insights. Visualization is a key requirement for explaining analytical findings, but visualizations such as graphs and charts are not always enough to explain data, especially to a nontechnical audience. This audience may need a different approach to connect with the data. Nancy Rausch (SAS Institute) shares a case study for a project that combined machine learning and art to tell a big data story. She explains how she and her team collected and prepared IoT streaming data from a solar array farm, applied an analytical model to forecast future output, and then visualized the results for general audiences using interactive art. They also used artificial intelligence and natural language processing to allow visitors to interact with the art installation. The project brought solar array technology to life in a way that was able to engage and delight visitors of all ages and backgrounds. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 91
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 5 hr., 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: More Than 7 Hours of Video Instruction Overview This course covers the essentials of Machine Learning on AWS and prepares a candidate to sit for the AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and Operations. Description This 7+ hour Complete Video Course is fully geared toward the AWS Machine Learning-Specialty (ML-S) Certification exam. The course offers a modular lesson and sublesson approach, with a mix of screencasting and headhsot treatment. Data Engineering instruction covers the ingestion, cleaning, and maintenance of data on AWS. Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services. Machine Learning Modeling covers topics including feature engineering, performance metrics, overfitting, and algorithm selection. Operations covers deploying models, A/B testing, using AI services versus training your own model, and proper cost utilization. The supporting code for this LiveLesson is located at http://www.informit.com/store/aws-certified-machine-learning-specialty-ml-s-complete-9780135556511 . About the Instructor Noah Gift is a lecturer and consultant at both the UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He teaches and designs graduate machine learning, AI, data science courses, and consulting on machine learning and cloud architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Academy accredited instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps. Noah received an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Currently he consults for startups and other companies on machine learning, cloud architecture, and CTO-level consulting as the founder of Pragmatic AI Labs. His most recent publications are Pragmatic AI: An introduction to Cloud-Based Machine Learning (Pear...
    Anmerkung: Online resource; Title from title screen (viewed February 28, 2019)
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  • 92
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 35 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Brands, marketers, and product designers need to understand their customers. Traditionally, market research was driven by surveys and focus groups of limited scale. Today, digital signals like web browsing behavior can provide a stream of observed behavioral data that is rich with information about a user’s interests, needs, and preferences. This type of data, coupled with machine learning techniques, holds the promise of freeing market research from the constraints of self-reported customer data. In its raw state, web browsing data is both too detailed and too sparse to be comprehensible, let alone actionable. Melinda Han Williams (Dstillery) explores semantic embeddings as a novel approach for understanding observed digital consumer behavior and details how to use a semantic embedding of web browsing behavior to drive unsupervised clustering for customer segmentation. You’ll learn how Dstillery has trained a neural network on 15 billion behavioral interactions. The resulting model can be seen as a much lower dimensional embedding of the internet and, if projected into two or three dimensions, as an interactive map. This taxonomy of internet behavior can be used as the foundation for a number of applications, providing unparalleled insights into consumer behavior and needs. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 93
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 34 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both sell-side and buy-side institutions. Techniques like time series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by “quants” for modeling asset prices, portfolio construction and optimization, and building automated trading strategies. Chakri Cherukuri (Bloomberg LP) explains how machine learning and deep learning techniques are being used in quantitative finance. Chakri outlines use cases for machine learning in finance and dives into a few examples, involving both structured and unstructured datasets, to examine in detail how machine learning models can be used for predictive analytics. Chakri details how these models work under the hood and explores the interpretability of these models. Along the way, you’ll look at novel interactive visualizations and diagnostic plots that will help you better understand these models.
    Anmerkung: Online resource; Title from title screen (viewed October 31, 2019)
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  • 94
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 26 hr., 15 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local ; Electronic videos
    Kurzfassung: More than 25 Hours of Expert Video Instruction This course is a complete guide to help you get up and running with your cybersecurity career. You will learn the key tenets and fundamentals of networking and security basics; cybersecurity management, monitoring and analysis; network security telemetry; digital forensics and incident response (DFIR); fundamentals of ethical hacking and penetration testing; advanced wireless hacking and pen testing; mobile device security, and IoT Security. This Complete Video Course provides a complete learning path for building your skills as a cyber security professional. You will start with the fundamental concepts, so you can increase your core knowledge before quickly moving on to actually working through pen testing and ethical hacking projects—so you can start to build your skills. Omar Santos, best-selling Cisco Press and Pearson security author and trainer, has compiled the lessons in this title from other training courses. You will find that the lessons build on each in an easy-to-follow organization, so you can move through the topics at your own pace. This course provides supplemental material to reinforce some of the critical concepts and techniques that the reader has learned and provides scripts that help you build your own hacking environment, examples of real-life penetration testing reports, and more. This material can be found at theartofhacking.org. Topics include: Module 1: Networking and Security Basics Module 2: Cybersecurity Management, Monitoring, and Analysis Module 3: Network Security Telemetry Module 4: Digital Forensics and Incident Response (DFIR) Module 5: Fundamentals of Ethical Hacking and Penetration Testing Module 6: Advanced Wireless Hacking and Penetration Testing Module 7: Mobile Device Security Module 8: Internet of Things (IoT) Security About the Instructor Omar Santos is an active member of the cyber security community, where he leads several industry-wide initiatives and standards bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies, and other participants dedicated to increasing the security of their critical infrastructures. Omar is the author of more than a dozen books and video courses, as well as numerous white papers, articles, and security configuration guidelines and best practices. Omar is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers ...
    Anmerkung: Online resource; Title from title screen (viewed April 2, 2019)
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  • 95
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484239803
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Learn how to use Jest by viewing easy-to-follow screencasts accompanied by clear instructions. In this complete video introduction to Jest, the testing framework from Facebook, you’ll discover how Jest can test any JavaScript application, and that it is widely used to test React.js applications. Testing React.js Applications with Jest will lay out the entire process, allowing you to see Jest in action with your own eyes. You’ll see that comprehensive testing of JavaScript-based web applications is a significant task, and many of the solutions that have emerged over the years have been cumbersome and involved integrating many different tools. With the help of this video you’ll replace these multiple tools and create a fast, comprehensive service that supports advanced features such as snapshots. Along the way you’ll learn how to build Jest into applications using create-react-app. This video course will cover Jest performance, ease of use and configuration, mocking and advanced features - it is a comprehensive guide to the framework that will make testing React.js applications a breeze. What You Will Learn Use Jest effectively to test React.js applications using best practices Integrate testing into your current development process Make your tests easy to set up and fast Work with the advanced capabilities of Jest without additional dependencies Who This Video Is For Web developers interested in best practice and improving the quality of their code and overall systems without introducing friction into their development process.
    Anmerkung: Online resource; Title from title screen (viewed May 21, 2019)
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  • 96
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    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 38 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 3+ Hours of Video Instruction In more than 3 hours of video instruction, Red Hat OpenShift Fundamentals LiveLessons viewers will learn how to administer Red Hat OpenShift to manage containers in an enterprise environment and to integrate them in a DevOps environment. Overview In more than 3 hours of video instruction, Red Hat OpenShift Fundamentals LiveLessons viewers will learn how to administer Red Hat OpenShift to manage containers in an enterprise environment and to integrate them in a DevOps environment. Red Hat OpenShift Fundamentals LiveLessons provides an introduction to working with containers in an OpenShift environment, and covers all core aspects of working with containers in OpenShift. OpenShift is an increasingly popular platform that helps you more easily deploy applications in an enterprise environment. The platform helps developers to seamlessly roll out an application in the form of a completely operational container. At the same time, it allows administrators to manage the application life cycle in a flexible way, where applications can be monitored for availability, and easily scaled up and down if the workload requires it. Learn how to get started with OpenShift in six lessons. In the first lesson, you'll learn how OpenShift can help you. An explanation of what OpenShift is, and how it relates to the Kubernetes platform is provided. The second lesson discusses how to get started with OpenShift, and different installation scenarios are demonstrated. Lesson 3 shows how to deploy applications in OpenShift, and Lesson 4 will explain software-defined networking, as implemented in OpenShift. Lesson 5 discusses more advanced features, such as pod scaling and node placement; and Lesson 6 shows how to connect containers in OpenShift to storage. With a combination of white-board instruction, demonstrations, and CLI learning, Sander van Vugt demystifies OpenShift. Skill Level Beginner/Intermediate Learn How To Understand when and how to use OpenShift depending on your environment Install the various versions of OpenShift Create applications from the web console Creating resources using the oc command line utility Use source-to-image to automatically build containers from the source code Use software-defined networking and using SDN in OpenShift Work with applications, including scaling Handle pod scheduling Manage images, image streams, and OpenShift templates Set up OpenShift storage Who Should Take This Course IT professionals that...
    Anmerkung: Online resource; Title from title screen (viewed April 17, 2019)
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  • 97
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 4+ Hours of Video Instruction Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory. Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI. Description Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks. Access the code repository for this LiveLesson at https://github.com/noahgift/fundamentals_ai_ml . About the Instructor Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program the Graduate Data Science program, MSDS, at Northwestern, the Graduate Data Science program at UC Berkeley. He is teaching and designing graduate Machine Learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah was selected to the SME Machine Learning team due to accomplishments in the area of Machine Learning on the AWS platform. He has published more than 100 technical publications, including several books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA fro...
    Anmerkung: Online resource; Title from title screen (viewed September 5, 2019)
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  • 98
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 49 hr., 17 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Royalties for this video set help fund ODSC community initiatives such as grants to open source projects, our diversity program, student travel grants, and other initiatives. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data sci...
    Anmerkung: Online resource; Title from title screen (viewed July 15, 2019)
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  • 99
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 7 hr., 18 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: 6+ Hours of Video Instruction Learn the main concepts and techniques used in modern machine learning through numerous examples written in scikit-learn Overview Machine Learning with scikit-learn LiveLessons is your guide to the scikit-learn library, which provides a wide range of algorithms in machine learning that are unified under a common and intuitive Python API. Most of the dozens of classes provided for various kinds of models share the large majority of the same calling interface. Quite often you can easily substitute one algorithm for another with very little or no change in your underlying code. This enables you to explore the problem space quickly and often to arrive at an optimal–or at least satisficing–approach to your problem domain or datasets. The scikit-learn library is built on the foundations of the numeric Python stack. It uses NumPy for its fundamental data structures and optimized performance, and it plays well with pandas and matplotlib. It is free software under a BSD license. The great bulk of machine learning programming in Python is done with scikit-learn—at least outside the specialized domain of deep neural networks. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science, (under various previous names) and with machine learning since way back when it was more likely to be called “artificial intelligence.” He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column Charming Python for IBM developerWorks, for many years; Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Use various machine learning techniques Explore a dataset Perform various types of classification Use regression, clustering, and hyperparameters Use feature engineering and feature selection Implement data pipelines Develop robust train/test splits Who Should Take This Course Programmers and statisticians interested in using Python and the scikit-learn library to implement machine learning Course Requirements Programming experience Table of Contents Introduction Lesson 1: What Is Machine Learning? Lesson 2: Exploring a Dataset Lesson 3: Classification Lesson 4: Regression Less...
    Anmerkung: Online resource; Title from title screen (viewed January 1, 2019)
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  • 100
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484251447
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 48 min.)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic videos ; local
    Kurzfassung: Begin your journey into query optimization by learning the basics of how SQL Server processes a query from start to finish. Once this foundation is established, you will focus on execution plans: What are they? How do we read them? And what are their more common operations? A variety of statistics options will be introduced that provide insight into query duration and the load that a given query presents on memory and storage resources. With a set of tools defined, you will tackle a variety of common optimization challenges. You’ll review some common problems in which performance is inadequate and then solutions to mitigate those problems and improve performance. These basic patterns will provide a format for viewing and analyzing queries with the goal of being able to identify the source of the problem when a query is running too slow. What You'll Learn Discover how SQL Server optimizes a query and generates an execution plan Enable, read, and decipher execution plans for query analysis Identify a variety of common execution plan operators Use STATISTICS IO to gauge query impact on memory and disk resources Measure query duration using STATISTICS TIME Analyze problem queries to find the source of performance problems Identify common query mistakes and how to quickly resolve them Who This Video Is For Database administrators, developers, or anyone who writes TSQL queries on a regular basis. For all database professionals who need to write efficient code that executes quickly while consuming minimal resources.
    Anmerkung: Online resource; Title from title screen (viewed June 28, 2019)
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