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  • English  (497)
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  • Safari, an O’Reilly Media Company  (481)
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  • English  (497)
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  • 1
    Online Resource
    Online Resource
    Kubernetes : Up and Running, 3rd Edition (2022)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 3rd edition
    DDC: 004/.36
    Keywords: Electronic data processing Distributed processing ; Application software Development ; Open source software ; Electronic books
    Abstract: In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency—whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson—who have worked on Kubernetes at Google and beyond—explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. This guide shows you how to: Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Migrating Applications to the Cloud (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cloud environments provide many well-known advantages, including flexibility, scalability, reliability, and high availability. But a lot of businesses still find themselves running some or all of their application suites and databases on-premises. If your enterprise is considering a migration to the cloud, it's critical you evaluate ways to make the move without introducing new risks or complexities. This report provides a concise yet comprehensive overview of migrating applications to the cloud. IT decision makers will learn how to create a migration plan to fit their company's needs, using best practices, tools, and available services. Analyst Stephen Swoyer reviews the benefits of migrating to the cloud, from cost-effectiveness to the acceleration of new technology adoption. You'll understand the challenges involved in migration and learn how to create a strategy to reduce risks and increase the likelihood of success. This report explores: The benefits of cloud migration, including cost-effectiveness, security, and the quick adoption of new technologies How to craft a migration strategy to reduce risks when preparing to move any workload, data, or application to the cloud
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Java (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Java’s been around for over a quarter of a century now, but it remains dominant in the world of programming due to its portability, speed, and security. Yet with today’s increased reliance on cloud computing and distributed systems, the language must keep changing to keep pace. In this Superstream event, Java Champions and other experts offer perspectives on topics from concurrency to functional programming, giving insight into how Java is keeping up with the cloud and beyond.
    Note: Online resource; Title from title screen (viewed July 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Python—Tips and Tricks, Machine Learning, and What’s New in 3.9 and Beyond (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python is the most popular language for data science and machine and deep learning, and it’s become a favorite among web developers due to its versatility, vast library ecosystem, and high-performance applications. Python's many new features will ensure it remains the language of choice for these robust communities, even as we approach its 30-year anniversary. Join members of the Python community as they share expert perspectives on topics ranging from machine learning to microservices. Discover how to implement Python’s newest features to optimize performance and take your Python code to the next level. About the OSCON Superstream Series: Each day in the four-part OSCON Superstream Series covers a different programming language and its ecosystem, with unique sessions including keynotes from language luminaries, debates on controversial topics, and hands-on coding talks. And they’re packed with insights from innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn-and how you can apply it Explore Python’s newest features Understand how Python can be applied in machine learning Learn how to use gRPC with polyglot technologies including Python Implement Python’s newest features to optimize performance This Superstream is for you because... You’re a Python developer looking to improve your skills and awareness of new practices and technologies. You’re a developer in another programming language and are curious about how Python can improve the performance of your applications. You’re an experienced developer who wants to learn new tools and techniques from expert programmers and software developers. Prerequisites: ,/p〉 Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration
    Note: Online resource; Title from title screen (viewed February 3, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Automating the Modern Data Warehouse (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases and practices than is possible in an existing environment. In this report, researcher and analyst Stephen Swoyer offers a comprehensive overview of the benefits and challenges of implementing a cloud-based data warehouse. Senior IT decision makers, chief data officers, and data professionals will learn about the shifts and new trends in the data management landscape. Explore ways to improve data management, build a data warehouse strategy, and learn how to modernize a data warehouse effectively. Understand how AI, machine learning, self-service data integration, and built-in developer-oriented services have transformed the data warehouse role Use data warehouses to work with cloud-based data lakes for end-to-end data management and data governance Explore how data warehouse platforms as a service (PaaS) pave the way to automation Migrate, manage, and secure a data warehouse in a hybrid or multicloud environment
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Open Source Software Superstream Series : Go—Generics, Modules, and the Future of Open Source Go Programming (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Go is now over a decade old, but that doesn’t mean it’s showing its age. As open source projects across industries have adopted Go, the language has continued to grow and change to meet their needs. Recent and forthcoming additions to the language, such as generics and modules, will alter Go programming dramatically. What do these developments mean for adoption? (Why, for example, is Go the language chosen by so many CNCF projects?) And what features do expert Go developers see as the backbone of the future of programming? Join us to hear expert insight into how the Go language is changing open source development, what makes it right for so many open source projects, and how developers can use Go’s unique new features to build secure, reliable, and efficient applications. About the OSCON Superstream Series: Each day in the four-part OSCON Superstream Series covers a different programming language and its ecosystem, with unique sessions including keynotes from language luminaries, debates on controversial topics, and hands-on coding talks. And they’re packed with insights from innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn-and how you can apply it Learn how best to approach using generics in Go code Discover how to extend Go applications Understand techniques for working in someone else’s codebase Find out what to do when concurrency goes wrong in your Go applications This Superstream is for you because... You’re a Go developer who wants to learn how newer features such as generics will affect your code and applications. You’re a software developer interested in learning more about Go as a language for developing tools, web services, or working with distributed systems. You’re an engineer, developer, or DevOps specialist looking to understand how Go is shaping observability and container management. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Take Introduction to the Go Programming Language (live online training course with Jay McGavren) Explore Understand Go (expert playlist by Jay McGavren) Read Head First Go (book) Read Concurrency in Go (book) Read Learning Go (early release book) Read Cloud Native Go (early release book) Read The Go Programming Language (book) Play in the interactive Go Sandbox
    Note: Online resource; Title from title screen (viewed April 29, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Open Source Software Superstream Series : C++ (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Known for its speed and multithreading support—and its more than four decades of powerful application development—C++ remains one of the most popular languages for a wide range of applications from banking and trading to advanced software development. And the language continues to evolve. Join us for four hours of expert-led sessions on the changes that C++20 will bring and explore the modern features that’ll ensure that C++ will continue to play an integral role in almost all the applications we use and and remain an ideal choice for creating complex open source projects. About the Open Source Software Superstream Series: Each day in the four-part OSCON Superstream Series covers a different programming language and its ecosystem, with unique sessions including keynotes from language luminaries, debates on controversial topics, and hands-on coding talks. And they’re packed with insights from innovators and the latest tools and technologies to help you stay ahead of it all. What you’ll learn and how you can apply it Explore the latest features of C++20 Dive into high-performance programming with C++ Discover how to extend C++ with WebAssembly Learn how to implement CRTP for library design and implementation This recording of a live event is for you because… You’re a C++ developer looking to improve your awareness of and skills with new practices and technologies. You’re a developer in another programming language and are curious about how you can use C++ for your open source projects. You’re an experienced developer who wants to learn new tools and techniques from expert programmers and software developers. Recommended follow-up: Take C++ Essentials: Templates (live online training course with Klaus Iglberger) Take C++ Essentials: STL Algorithms (live online training course with Klaus Iglberger) Read Effective Modern C++ (book) Read C++ Crash Course (book) Experiment with the C++ Sandbox
    Note: Online resource; Title from title screen (viewed October 14, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Building Machine Learning Pipelines (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (275 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. The book also explores new approaches for integrating data privacy into machine learning pipelines. Understand the machine learning management lifecycle Implement data pipelines with Apache Airflow and Kubeflow Pipelines Work with data using TensorFlow tools like ML Metadata, TensorFlow Data Validation, and TensorFlow Transform Analyze models with TensorFlow Model Analysis and ship them with the TFX Model Pusher Component after the ModelValidator TFX Component confirmed that the analysis results are an improvement Deploy models in a variety of environments with TensorFlow Serving, TensorFlow Lite, and TensorFlow.js Learn methods for adding privacy, including differential privacy with TensorFlow Privacy and federated learning with TensorFlow Federated Design model feedback loops to increase your data sets and learn when to update your machine learning models
    Note: Online resource; Title from title page (viewed August 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Kubernetes Operators (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesn’t just run on Kubernetes; it’s composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups. Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK. Learn how to establish a Kubernetes cluster and deploy an Operator Examine a range of Operators from usage to implementation Explore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator Metering Build Operators from the ground up using the Operator SDK Build, package, and run an Operator in development, testing, and production phases Learn how to distribute your Operator for installation on Kubernetes clusters
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492048039/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Natural Language Processing with Spark NLP (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (94 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to build an enterprise-quality application that uses natural language text, but aren’t sure where to begin or what tools to use, this practical guide will help get you started. You’ll explore special concerns for developing text-based applications, such as performance. Alex Thomas, data scientist at Indeed, shows software engineers and data scientists how to build scalable NLP applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from NLP basics to applications of powerful modern techniques. Process text in a distributed environment using Spark NLP, a production-ready library for NLP built on Spark Create, tune, and deploy your own word embeddings Adapt your NLP applications to multiple languages Use text in machine learning and deep learning Learn why these techniques work from a machine learning, linguistic, and practical point of view
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Lean AI (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (210 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: How can startups successfully scale customer acquisition and revenue growth with a lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. With this practical book, author Lomit Patel shows you how to use AI and machine learning (ML) to provide an operational layer atop those acquisition solutions to deliver meaningful results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and maintain customers. Learn how AI and ML can support the customer acquisition efforts of a lean startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use ML for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492059301/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Modern System Administration (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Early system administration required in-depth knowledge of a variety of services on individual systems. Now, the job is increasingly complex and different from one company to the next with an ever-growing list of technologies and third-party services to integrate. How does any one individual stay relevant in systems and services? This practical guide helps anyone in operations—sysadmins, automation engineers, IT professionals, and site reliability engineers—understand the essential concepts of the role today. Collaboration, automation, and the evolution of systems change the fundamentals of operations work. No matter where you are in your journey, this book provides you the information to craft your path to advancing essential system administration skills. Author Jennifer Davis provides examples of modern practices and tools with recommended materials to advance your skills. Topics include: Development and testing: Version control, fundamentals of virtualization and containers, testing, and architecture reviewDeploying and configuring services: Infrastructure management, networks, security, storage, serverless, and release managementScaling administration: Monitoring and observability, capacity planning, log management and analysis, and security and compliance
    Note: Online resource; Title from title page (viewed July 25, 2020)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Threat Modeling (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Threat modeling is one of the most essential—and most misunderstood—parts of the development lifecycle. Whether you’re a security practitioner or application developer, this book will help you gain a better understanding of core concepts and how to apply them to your practice to protect your systems from threats. Authors Izar Tarandach and Matthew Coles walk you through the myriad ways to approach and execute threat modeling. Contrary to popular belief, the process takes neither incredibly advanced security knowledge nor an unmanageable amount of effort. But it’s critical for spotting and addressing potential concerns in a cost-effective way before the code’s written and it’s too late to find a solution. Find out why threat modeling is important and how it can make you and your team better, more well-rounded architects and developers Learn the most effective ways to integrate threat modeling into your development lifecycle Use the results of a threat modeling exercise on other aspects of the system lifecycle
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Practical Statistics for Data Scientists, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you’ll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning
    Note: Online resource; Title from title page (viewed May 25, 2020)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    JavaScript Everywhere (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. JavaScript is the little scripting language that could. Once used chiefly to add interactivity to web browser windows, JavaScript is now a primary building block of powerful and robust applications. In this practical book, new and experienced JavaScript developers will learn how to use this language to create APIs as well as web, mobile, and desktop applications. Author and engineering leader Adam D. Scott covers technologies such as Node.js, GraphQL, React, and React Native. Ideal for developers who want to build full stack applications and web development beginners looking to bootstrap a startup, this book shows you how to create a single CRUD-style application that will work across several platforms. Explore GraphQL's simple process for querying data Learn about shared authentication for APIs, web apps, and native applications Build universal web applications with React and Next.js that perform and render on the server Use React Native to write cross-platform applications for iOS and Android that compile to native code Learn how to write desktop applications with Electron
    Note: Online resource; Title from title page (viewed March 25, 2020)
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Laws of UX : using psychology to design better products & services (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Yablonski, Jon Laws of UX
    RVK:
    QP 624
    Keywords: Electronic books ; local ; Webdesign ; Gebrauchsgrafik ; Mensch-Maschine-Kommunikation ; Benutzerfreundlichkeit ; Verhaltenspsychologie
    Abstract: Every designer today should learn the fundamentals of psychology. Instead of forcing users to conform to a product design or experience, designers need to learn how users behave and interact with various digital interfaces. This guide provides some key principles from psychology to help you design more intuitive, human-centered products and experiences. Humans have an underlying blueprint for how we perceive and process the world around us, and through simple lessons in psychology, this guide will help you define this blueprint.
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: lizenzpflichtig
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  • 17
    Online Resource
    Online Resource
    Enterprise Architecture Patterns with Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (280 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You’ll learn how to implement each of these patterns in a Pythonic way. Architectural design patterns include: Dependency inversion, and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between entities, value objects, and aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command Query Responsibility Segregation (CQRS) Event-driven architecture and reactive microservices
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492052197/?ar
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    Online Resource
    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    Distributed Tracing in Practice (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications—especially those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. With this practical guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at LightStep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know. You’ll learn: The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering value Best practices for instrumentation (the methods for generating trace data from your service) How to deal with or avoid overhead, costs, and sampling How to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable traces Where distributed tracing is headed in the future
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    Using Asyncio in Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re among the Python developers put off by Asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework developers and end-user developers like you. The features you need to consider are a small subset of the whole Asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps end-user developers gain a basic understanding of Asyncio’s building blocks—enough to get you started writing simple event-based programs. You’ll learn why Asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simple way to support thousands of simultaneous socket connections. Get a critical comparison of Asyncio and threading for concurrent network programming Take an Asyncio walkthrough, including a quickstart guide to help you hit the ground looping with event-based programming Learn the difference between Asyncio features for end-user developers and those for framework developers Understand Asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular Asyncio-compatible third-party libraries
    Note: Online resource; Title from title page (viewed March 25, 2020)
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    Programming AWS Lambda (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (224 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Serverless is a revolution in the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their language experience in the new world of serverless computing. You’ll discover how this cloud computing model can drastically reduce the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing serverless applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. Chapters includes exercises to help you through each aspect of the process. Get an introduction to serverless, functions-as-a-service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how to get data in and out Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications
    Note: Online resource; Title from title page (viewed February 25, 2020)
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    Practical Natural Language Processing (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (375 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide. Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional machine learning will be apt. As you accumulate more data, more sophisticated—and often data intensive—ML techniques can be used including deep learning. At each step of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.
    Note: Online resource; Title from title page (viewed May 25, 2020)
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    Mastering Blockchain (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The future will be increasingly decentralized. As the publicity surrounding bitcoin and blockchain has shown, decentralized technology and distributed business models are already popular. Yet the disruptive potential of this technology is obscured by hype and misconceptions in equal measure. In this detailed guide, Lorne Lantz and Daniel Cawrey distill the complex ideas behind blockchain into an easily digestible reference that shows what is really going on under the hood. Finance and technology professionals will learn how a blockchain works as they explore the evolution and current state of cryptocurrencies, and the function of smart contracts. If you’re evaluating whether to invest your time in the cryptocurrency and blockchain industry, this book is for you. Get beyond the buzzwords and discover what the technology has to offer. Learn why Bitcoin was fundamentally important to the birth of blockchain Explore altcoin and altchain successes and failures, to see what can be done with blockchains and cryptocurrencies Understand the challenges of scaling a blockchain and forking a blockchain project See what Ethereum offers beyond Bitcoin Examine how the money flows in crypto markets Discover why, how, and where governments are intervening in the cryptocurrency and blockchain industry Understand the perspectives of real-world practitioners in the space
    Note: Online resource; Title from title page (viewed October 25, 2020)
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    O'Reilly Infrastructure & Ops Superstream Series : Kubernetes (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Kubernetes radically changed the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. These sessions will show you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. What you'll learn-and how you can apply it Explore Kubernetes fundamentals Understand what to focus on during your first few weeks with Kubernetes Learn what’s different in a VM-based world and what’s remained largely the same See what’s coming next for Kubernetes This Superstream is for you because... You’re a developer looking to get started with Kubernetes You use Kubernetes and want to learn more about what’s coming next You want to become well-versed in the foundations and best practices of Kubernetes Prerequisites: Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration Recommended follow-up: Read Programming Kubernetes (book) Read Kubernetes Best Practices (book) Read Kubernetes Up and Running, second edition (book) Take Kubernetes in Three Weeks—Parts I and II (live online training courses with Jonathan Johnson)
    Note: Online resource; Title from title screen (viewed October 23, 2020) , Mode of access: World Wide Web.
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    The Practitioner's Guide to Graph Data (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With Early Release ebooks, you get books in their earliest form—the authors' raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles. This book will enable you to apply graph thinking to solve complex problems. If you want to learn how to build architectures for extracting value for your domain’s complex problems, then this book is for you. You’ll learn how to think about your data as a graph, and how to determine if graph technology is right for your application. The book describes techniques for scalable, real-time, and multimodel architectures that solve complex problems, and shows how companies are successfully applying graph thinking in distributed production environments. Authors Denise Koessler Gosnell and Matthias Broecheler also introduce the Graph Schema Language, a set of terminology and visual illustrations to normalize how graph practitioners communicate conceptual graph models, graph schema, and graph database design.
    Note: Online resource; Title from title page (viewed April 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492044062/?ar
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    Learning Spark, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Data is getting bigger, arriving faster, and coming in varied formats—and it all needs to be processed at scale for analytics or machine learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.x., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms. Through discourse, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level APIs: DataFrames and Datasets Peek under the hood of the Spark SQL engine to understand Spark transformations and performance Inspect, tune, and debug your Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow Use open source Pandas framework Koalas and Spark for data transformation and feature engineering
    Note: Online resource; Title from title page (viewed June 25, 2020)
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    Building Machine Learning Powered Applications (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step. Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application. The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Determine your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML model and address performance bottlenecks Deploy and monitor models in a production environment
    Note: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492045106/?ar
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    Web Application Security (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While many resources for network and IT security are available, detailed knowledge regarding modern web application security has been lacking—until now. This practical guide provides both defensive and offensive security concepts that software engineers can easily learn and apply. Andrew Hoffman, a product security lead at Salesforce.com, introduces three pillars of web application security: recon, offense, and defense. You’ll learn methods for effectively researching and analyzing modern web applications—including those you don’t have direct access to. You’ll also learn how to apply countermeasures to your own applications in order to prevent or mitigate risk from hackers. Ideal as a reference guide or educational text, this book helps you: Explore common vulnerabilities that plague today's web applications Learn essential hacking techniques that attackers use for exploiting applications Map and document web applications for which you do not have direct access Hack your application by applying the OWASP 10 exploits and other attacks Learn how to code your application to protect against the attacks you’ve identified Get practical tips to help you improve the overall security of your web products Develop and deploy your own customized exploits that can bypass many defenses
    Note: Online resource; Title from title page (viewed June 25, 2020)
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    Python for DevOps (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (451 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout all these transformations, Python has become one of the most popular languages in the world. This practical guide shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is an essential skill for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. If you’re looking for effective ways to "get stuff done" in Python, this is your guide. Automate several tasks using Python Work more efficiently by using a smaller subset of the language Use continuous integration systems to increase software quality Mix shell and Python commands to solve problems
    Note: Online resource; Title from title page (viewed January 3, 2020)
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    Programming PHP, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (540 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Why is PHP the most widely used programming language on the web? This updated edition teaches everything you need to know to create effective web applications using the latest features in PHP 7.3. You’ll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working knowledge of HTML and CSS, authors Kevin Tatroe and Peter MacIntyre provide style tips and practical programming advice in a clear, concise manner to help you become a top-notch PHP programmer. Get an overview of what’s possible when you use PHP programs Learn language fundamentals, including data types, variables, operators, and flow control statements Explore functions, strings, arrays, and objects Apply common web application techniques, such as form processing, data validation, session tracking, and cookies Interact with relational databases like MySQL or NoSQL databases such as MongoDB Generate dynamic images, create PDF files, and parse XML files Learn secure scripts, error handling, performance tuning, and other advanced topics Get a quick reference to PHP core functions and standard extensions
    Note: Online resource; Title from title page (viewed April 25, 2020)
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    Mastering Serverless Applications with Google Cloud Run (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn how to build a serverless real-world application in the cloud that’s reliable, secure, maintainable, and can handle millions of users. If you have experience building traditional web applications, this practical guide shows you how to get started with serverless. Cloud engineer Wietse Venema takes you through the steps necessary to build serverless applications with Cloud Run, a container-based serverless platform on Google Cloud. Through the course of the book, you’ll learn how to become productive with serverless technology. You will build and explore several example applications that highlight different parts of the serverless stack, using (light) frontend technology and Go on the back end. You can also follow the lessons in the book using your own project on Google Cloud Platform. You’ll learn how to: Build a serverless application with Google’s Cloud Run and Firestore Approach testing and development Handle user management and authentication Combine serverless with a traditional relational database Run and monitor production services Integrate your application with external APIs
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    AI Adoption in the Enterprise 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (18 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: O’Reilly survey results show that AI efforts are maturing from prototype to production, but company support and an AI/ML skills gap remain obstacles.
    Note: Online resource; Title from title page (viewed March 17, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781492081210/?ar
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    5 Key Areas for Tech Leaders to Watch in 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (18 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Our annual analysis of the O'Reilly online learning platform reveals Python's continued dominance and important shifts in infrastructure, AI/ML, cloud, and security.
    Note: Online resource; Title from title page (viewed February 26, 2020) , Mode of access: World Wide Web.
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    6 Trends Framing the State of AI and ML (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (14 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: O’Reilly usage analysis shows continued growth in AI/ML and early signs that organizations are experimenting with advanced tools and methods.
    Note: Online resource; Title from title page (viewed March 26, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781492081791/?ar
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    OSCON Open Source Software Superstream Series : Live Coding-Go, Rust, and Python (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This three-part series of half-day online events gives attendees an overarching perspective of software development from which to make decisions that strengthen and grow companies and industries, a deep knowledge of key open source technologies to make it happen, and a community in which both they and their companies can thrive. In Part 1, Live Coding-Go, Rust, and Python, we wanted to get deeper into actual coding, and one way to do that was to outlaw slides. That's right, these sessions all incorporate live-coding. These four sessions from Ellen Körbes, John Walicki, Nathan Stocks, and Reuven Lerner will walk you through coding best practices and new ways of getting the most out of languages like Python, Go, and Rust. This event is sponsored by IBM, and features spotlights on Kode With Klossy and the Eclipse Foundation. About the presenters: Rachel Roumeliotis is vice president of content strategy at O'Reilly, where she leads an editorial team that covers a wide variety of programming topics ranging from full stack to open source in the enterprise to emerging programming languages. She's been a programming chair for the O'Reilly OSCON, Fluent, Strata, Software Architecture, and Security Conferences. She's currently the programming chair for the OSCON and Strata Data & AI Superstream Series on O'Reilly online learning. She's been working in technical publishing for 10 years, acquiring content in many areas including mobile programming, UX, computer security, and AI. Kelsey Hightower has worn every hat possible throughout his career in tech and enjoys leadership roles focused on making things happen and shipping software. Kelsey is a strong open source advocate focused on building simple tools that make people smile. When he isn't slinging Go code, you can catch him giving technical workshops covering everything from programming to system administration. Ellen Körbes ran DevRel at both Tilt and Garden-two of the very few companies 100% focused on the development experience side of Kubernetes. They got their start building Kubernetes CLI tooling under SIG-CLI. They've since spoken about Go and Kubernetes at many world-famous events. Tara Tran is the manager of recruitment and instruction, and Mehreen Butt is an instructor at Kode With Klossy. John Walicki is the CTO for edge/IoT advocacy in the Developer Ecosystem Group within the IBM Cognitive Applications Group, where he helps developers create custom IoT and embedded Linux solutions for thei...
    Note: Online resource; Title from title screen (viewed June 24, 2020) , Mode of access: World Wide Web.
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    Software Architecture Superstream Series : Microservices; September 9, 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This three-part series of half-day online events, hosted by chair Neal Ford, focuses on the hottest topics in software architecture—including microservices, essential architecture principles, and event-driven architecture and domain-driven design—giving you the insights to keep pace with what’s next while still accommodating legacy needs. Both seasoned software architects and those looking to break into the field will learn new skills and the latest information on the tools and technologies they need to succeed. This is part 2 of the series, Microservices, where you will meet instructors Kelsey Hightower, Indu Alagarsamy, Rebecca Parsons, Sofia Tania, and Gwen Shapira.
    Note: Online resource; Title from title screen (viewed September 23, 2020) , Mode of access: World Wide Web.
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    Innovative Tableau (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (56 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to 2018’s Practical Tableau, author Ryan Sleeper takes you through a collection of unique tips and tutorials for using this popular software. Beginning to advanced Tableau users will learn how to go beyond Show Me to make better data charts and learn dozens of tricks to improve both the author and user experience. Featuring many tutorials he designed himself, Ryan shows you how to create charts that empower Tableau users to explore, understand, and derive value from their data. He also shares many of his favorite tricks that enabled him to become a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Iron Viz Champion. Learn what’s new in Tableau since Practical Tableau was released in 2018 Examine unique new charts—timelines, custom gauges, and leapfrog charts—plus innovations such as highlight tables, scatter plots, and maps Get tips that can help make a Tableau developer’s life easier Understand what developers can do to make users’ lives easier
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    High Performance Python, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (87 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, the updated edition of this practical guide, expanded and enhanced for Python 3, helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. How can you take advantage of multicore architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers and students alike will learn concrete solutions to these and other issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and other situations. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Understand performant pandas Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix, vector, and even tensor computations Use tools to compile Python down to machine code, on CPUs and GPUs Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on a local or remote cluster Deploy code faster using tools like Docker Solve large problems while using less RAM Get real-life stories and lessons from Python programmers
    Note: Online resource; Title from title page (viewed June 25, 2020)
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    JavaScript : The Definitive Guide, 7th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (232 pages)
    Edition: 7th edition
    Keywords: Electronic books ; local
    Abstract: For web developers and other programmers interested in using JavaScript, this bestselling book provides the most comprehensive JavaScript reference section on the market. The seventh edition represents a significant update, with new material for ECMAScript 2017 (ES8), and new chapters on language-specific features. JavaScript: The Definitive Guide is ideal for experienced programmers who want to learn the programming language of the web, and for current JavaScript programmers who want to master it.
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    Fundamentals of Software Architecture (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    ISBN: 9781492043423 , 1492043427 , 9781492043409 , 1492043400
    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.12
    Keywords: Software architecture ; Software architecture Vocational guidance ; Electronic books ; local ; Architecture logicielle ; Architecture logicielle ; Orientation professionnelle ; Software architecture
    Abstract: Although salary surveys worldwide regularly identify software architect as one of the top ten best jobs, no decent guides exist to help developers become architects. Until now. This practical guide provides the first comprehensive overview of software architecture’s many aspects. You’ll examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Authors Neal Ford and Mark Richards help you learn through examples in a variety of popular programming languages, such as Java, C#, JavaScript, and others. You’ll focus on architecture principles with examples that apply across all technology stacks.
    Note: Online resource; Title from title page (viewed February 25, 2020)
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    Building Secure and Reliable Systems (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (600 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Can a system ever truly be considered reliable if it isn't fundamentally secure? In two previous O'Reilly books, experts from Google showed how reliability is fundamental to service design. Site Reliability Engineering and The Site Reliability Workbook demonstrated how and why a commitment to the entire service lifecycle enables organizations to successfully build, deploy, monitor, and maintain software systems. Security is also crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, reliability, and availability. In a world where most products are connected to the internet, and with cloud technologies and machine learning becoming more prevalent, enabling security by default is increasingly important. This book shares best practices to help an organization of any size design scalable and reliable systems that are fundamentally secure. It also offers insights into how teams across an organization can collaborate on security and reliability. Specifically, you'll learn about: Design Strategies Implementation and Operations Preparing for the Worst: Detection and Response Scaling Security and the Organization
    Note: Online resource; Title from title page (viewed March 25, 2020)
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    Java Cookbook, 4th Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (600 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Java continues to grow and evolve, and this Cookbook continues to evolve in tandem. This book helps to get you up to speed right away with hundreds of hands-on recipes across a broad range of Java topics. You’ll learn useful techniques for everything from string handling and functional programming to network communication. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. If you are familiar with the basics of the Java language, this cookbook will bolster your knowledge of the language in general and its many recent changes and how to apply them in your day-to-day development. Recipes include: Methods for compiling, running, and debugging “Packaging” Java classes and building applications Manipulating, comparing, and rearranging text Regular expressions for string- and pattern-matching Handling numbers, dates, and times Structuring data with collections, arrays, and other types Object-oriented and functional programming techniques Input/Output, Directory and filesystem operations Network programming on both client and server Processing JSON for data interchange Multithreading and concurrency Using Java in Big Data applications Interfacing Java with other languages The 4th Edition of this book has been updated to cover changes through Java 12 and includes new recipes for Big Data and data science.
    Note: Online resource; Title from title page (viewed April 25, 2020)
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    Cassandra : The Definitive Guide, 3rd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
    Note: Online resource; Title from title page (viewed July 25, 2020)
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    Java Performance, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Coding and testing are generally considered separate areas of expertise. In this practical book, Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the Java Virtual Machine—including the tunings likely to help performance. This updated second edition helps you gain in-depth knowledge of Java application performance using both the JVM and the Java platform. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 8 and 11 LTS releases perform. While the emphasis is on production-supported releases and features, this book also features previews of exciting new technologies such as ahead-of-time compilation and experimental garbage collections. Understand how various Java platforms and compilers affect performance Learn how Java garbage collection works Apply four principles to obtain best results from performance testing Use the JDK and other tools to learn how a Java application is performing Minimize the garbage collector’s impact through tuning and programming practices Tackle performance issues in Java EE and SE APIs Improve Java-driven database application performance
    Note: Online resource; Title from title page (viewed February 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492056102/?ar
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    Full Stack Serverless (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (52 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With a new generation of services and frameworks, frontend and mobile developers can use their existing skill set to build full stack applications by leveraging the cloud. Developers can build robust applications with production-ready features such as authentication, APIs, data layers, machine learning, chatbots, and AR scenes more easily than ever by taking advantage of these new serverless and cloud technologies. This practical guide explains how. Nader Dabit, developer advocate at Amazon Web Services, shows developers how to build full stack applications using React, AWS, GraphQL, and the Amplify Framework. You’ll learn how to create and incorporate services into your client applications while exploring general best practices, deployment strategies, continuous integration and delivery, and rich media management along the way. Learn how to build applications that solve real problems Understand what is (and isn’t) possible when using these technologies Examine how authentication works—and learn the difference between authentication and authorization Discover how serverless functions work and why they’re important Use GraphQL in your application—and learn why it’s important Learn how to build full stack applications on AWS
    Note: Online resource; Title from title page (viewed November 25, 2020)
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    Arduino Cookbook, 3rd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (800 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Want to create devices that interact with the physical world? This cookbook is perfect for anyone who wants to experiment with the popular Arduino microcontroller and programming environment. You’ll find more than 200 tips and techniques for building a variety of objects and prototypes such as IoT solutions, environmental monitors, location and position-aware systems, and products that can respond to touch, sound, heat, and light. You don’t need to have mastered Arduino or programming to get started. Updated for the Arduino 1.5 release, the recipes in this third edition include practical examples and guidance to help you begin, expand, and enhance your projects right away—whether you’re an engineer, designer, artist, student, or hobbyist. Get up to speed on the Arduino board and essential software concepts quickly Learn basic techniques for reading digital and analog signals Use Arduino with a variety of popular input devices and sensors Drive visual displays, generate sound, and control several types of motors Interact with devices that use remote controls, including TVs and appliances Learn techniques for handling time delays and time measurement Apply advanced coding and memory-handling techniques
    Note: Online resource; Title from title page (viewed April 25, 2020)
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    Architecting for Scale, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. And with the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand without affecting the quality your customers expect. Author Lee Atchison shows architects, managers, and directors in both engineering andoperations organizations how to build applications at scale that run more smoothly and reliably and meet the needs of your customers. See how scaling affects the availability of your services, why that matters, and how to improve it Dive into a modern service-based application architecture that ensures high availability and reduces the effects of service failures Explore the Single Team Owned Service Architecture paradigm (STOSA)—a model for scaling your development organization as your application scales Understand, measure, and mitigate risk in your systems Use the cloud to build highly scalable applications
    Note: Online resource; Title from title page (viewed June 25, 2020)
    URL: https://learning.oreilly.com/library/view/-/9781492057161/?ar
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    OSCON Open Source Software Superstream Series : Cloud Strategies and Implementation (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Watch the OSCON Live Coding-Go, Rust, and Python event here. This three-part series of half-day online events gives attendees an overarching perspective of software development from which to make decisions that strengthen and grow companies and industries, a deep knowledge of key open source technologies to make it happen, and a community in which both they and their companies can thrive. In part 2, Cloud Strategies and Implementation, we wanted to explore the cloud. In the blink of an eye, the cloud has become a pillar of software development. And big vendors, including Amazon, Microsoft, and Google, keep pushing the envelope, adding more and more services. Join us to learn how cloud strategies and their implementation can impact your business. This event is sponsored by Capital One and features spotlights on the Open Source Initiative and the Python Software Foundation. About the presenters: Rachel Roumeliotis is vice president of content strategy at O'Reilly, where she leads an editorial team that covers a wide variety of programming topics ranging from full stack to open source in the enterprise to emerging programming languages. She's been a programming chair for the O'Reilly OSCON, Fluent, Strata, Software Architecture, and Security Conferences. She's currently the programming chair for the OSCON and Strata Data & AI Superstream Series on O'Reilly online learning. She's been working in technical publishing for 10 years, acquiring content in many areas including mobile programming, UX, computer security, and AI. Kelsey Hightower has worn every hat possible throughout his career in tech and enjoys leadership roles focused on making things happen and shipping software. Kelsey is a strong open source advocate focused on building simple tools that make people smile. When he isn't slinging Go code, you can catch him giving technical workshops covering everything from programming to system administration. Forrest Brazeal is an enterprise cloud architect, speaker, and community advocate. Currently a senior manager at A Cloud Guru, he spent years designing applications for the cloud at Infor and Trek10. One of the original AWS Serverless Heroes, Forrest was also named one of Jefferson Frank's "Top 7 Global AWS Experts" in 2019. His first book, The Read-Aloud Cloud, is coming from Wiley in 2020. Josh Simmons is the president of the Open Source Initiative. John Mark Walker is the director of the Open Source Program Office at Capital One. Previo...
    Note: Online resource; Title from title screen (viewed July 29, 2020) , Mode of access: World Wide Web.
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    Cloud Adoption in 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (24 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The shift to the cloud is ongoing, and perhaps even accelerated by the COVID-19 pandemic.
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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    Microservices Adoption in 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone's talking about microservices. Who's actually doing it?
    Note: Online resource; Title from title page (viewed July 7, 2020) , Mode of access: World Wide Web.
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    Lean Enterprise (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (38644 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: How well does your organization respond to changing market conditions, customer needs, and emerging technologies when building software-based products? This practical guide presents Lean and Agile principles and patterns to help you move fast at scale—and demonstrates why and how to apply these methodologies throughout your organization, rather than with just one department or team. Through case studies, you’ll learn how successful enterprises have rethought everything from governance and financial management to systems architecture and organizational culture in the pursuit of radically improved performance. Adopting Lean will take time and commitment, but it’s vital for harnessing the cultural and technical forces that are accelerating the rate of innovation. Discover how Lean focuses on people and teamwork at every level, in contrast to traditional management practices Approach problem-solving experimentally, by exploring solutions, testing assumptions, and getting feedback from real users Lead and manage large-scale programs in a way that empowers employees, increases the speed and quality of delivery, and lowers costs Learn how to implement ideas from the DevOps and Lean Startup movements even in complex, regulated environments
    Note: Online resource; Title from title page (viewed March 8, 2019)
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    Istio : Up and Running (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (268 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: You did it. You successfully transformed your application into a microservices architecture. But now that you’re running services across different environments—public to public, private to public, virtual machine to container—your cloud native software is beginning to encounter reliability issues. How do you stay on top of this ever-increasing complexity? With the Istio service mesh, you’ll be able to manage traffic, control access, monitor, report, get telemetry data, manage quota, trace, and more with resilience across your microservice. In this book, Lee Calcote and Zack Butcher explain why your services need a service mesh and demonstrate step-by-step how Istio fits into the life cycle of a distributed application. You’ll learn about the tools and APIs for enabling and managing many of the features found in Istio. Explore the observability challenges Istio addresses Use request routing, traffic shifting, fault injection, and other features essential to running a solid service mesh Generate and collect telemetry information Try different deployment patterns, including A/B, blue/green, and canary Get examples of how to develop and deploy real-world applications with Istio support
    Note: Online resource; Title from title page (viewed October 18, 2019)
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    Programming iOS 13 (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1000 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you’re grounded in the basics of Swift, Xcode, and the Cocoa framework, this book provides a structured explanation of all essential real-world iOS app components. Through deep exploration and copious code examples, you’ll learn how to create views, manipulate view controllers, and add features from iOS frameworks. Create, arrange, draw, layer, and animate views that respond to touch Use view controllers to manage multiple screens of interface Master interface classes for scroll views, table views, text, popovers, split views, web views, and controls Dive into frameworks for sound, video, maps, and sensors Access user libraries: music, photos, contacts, and calendar Explore additional topics, including files, networking, and threads
    Note: Online resource; Title from title page (viewed December 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492074601/?ar
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    Practical Artificial Intelligence with Swift (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (523 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more. AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models. I: Fundamentals and Tools— Learn AI basics, our task-based approach, and discover how to build or find a dataset. II: Task Based AI— Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models. III: Beyond— Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to
    Note: Online resource; Title from title page (viewed October 23, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492044802/?ar
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    O'Reilly Artificial Intelligence Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 91 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The O’Reilly Artificial Intelligence Conference San Jose 2019 was some of the world’s top AI practitioners sharing their AI passion and AI knowledge with thousands of attendees. It was Uber AI Lab’s Kenneth Stanley illuminating the future of AI with his talk about open-endedness learning. It was Danny Lange (Unity Technologies) on game environments that test the capabilities of AI-trained agents; Yi Zhang (University of California, Santa Cruz) on chatbots and the nearness of true conversational computing; and Hagay Lupesko (Facebook) on the challenges of mega-scale, deep learning-based personalization modeling. In short, AI San Jose 2019 was a mind-blower and this video compilation gives you access to virtually all of it with hours of material to peruse, study, and absorb on your own schedule. Highlights include: Complete video recordings of the best of AI San Jose 2019’s keynote addresses, deep dive tutorials, and technical sessions. Keynote addresses from AI thought leaders such as Andrew Feldman (Cerebras Systems), Sahika Genc (AWS DeepRacer/SageMaker RL), and Mike Jordan (UC Berkeley). Unrestricted access to the exclusive AI Business Summit’s executive briefings, best practice sessions, and tutorials led by AI business pros such as Michael Radwin (Intuit), Bahman Bahmani (Rakuten), Mayukh Bhaowal (Salesforce Einstein), Yael Gozin (Pfizer), and James Manyika (McKinsey & Company). Deep dive tutorials, including Jason Dai (Intel) on building deep learning apps for big data with the Analytics Zoo AI platform; Chaoran Yu (Lightbend) on doing machine learning (ML) with Kafka-based streaming pipelines; and Justina Petraityte (Rasa) on developing intelligent AI assistants based entirely on ML with open source Rasa NLU and Rasa Core. Sessions devoted to AI Implementation, such as Anuradha Gali (Uber) on using AI to leverage 15 million trips a day on the Uber platform; Roshan Sumbaly (Facebook) on connecting the dots between the software engineering and ML development worlds; Paige Bailey’s (Google) on TensorFlow 2.0's new features; and Alex Ratner (Snorkel) on building and managing training datasets for ML with open source Snorkel. Sessions focused on AI Models & Methods, including Lukas Biewald (Weights & Biases) review of how to use Keras to classify text with LSTMs and other ML techniques; and Francesca Lazzeri (Microsoft) on using AutoML to automate ML model selection and hyperparameter tuning. Dozens of how-to-do-it sessions detailing the tec...
    Note: Online resource; Title from title screen (viewed September 11, 2019)
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    O'Reilly Artificial Intelligence Conference 2019 - London, United Kingdom (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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...
    Note: Online resource; Title from title screen (viewed October 16, 2019)
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    O'Reilly Velocity Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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. O'Reilly Velocity Conferences are devoted to providing its international audience of SREs, app developers, DevOps practitioners, systems architects, CTOs, and CIOs with the most on-point training and information possible on how to build and maintain large-scale cloud native systems. Velocity Berlin 2019 stayed true to this formula. It gathered some of the world's top cloud practitioners to share their expertise and insights on key concepts like Kubernetes, site reliability engineering, observability, and performance. Stay ahead of your competition, get this video compilation, and enjoy a front-row seat to all of the best that Velocity Berlin 2019 had to offer. Highlights include: Unrestricted access to hours of the best presentations from Velocity Berlin 2019—this video compilation includes keynote sessions, deep-dive tutorials, and technical sessions. Kubernetes sessions, including Jonathan Johnson's (Dijure LLC) intro to Kubernetes tutorial; Jose Nino’s (Lyft) look at deploying hybrid topologies with Kubernetes and Envoy; and Bastian Hofmann’s (SysEleven) talk on using Kubernetes to deploy an application across multiple clusters in different regions. Monitoring, Observability, and Performance sessions, such as Liz Fong-Jones (Honeycomb) on how microservice-based systems do distributed tracing using OpenTelemetry; Lorenzo Fontana (Sysdig) on eBPF-powered distributed Kubernetes performance analysis; and Nathanael Jean-Francois (NS1) on using BGP edge optimizations to measure internet performance and make routing decisions. Overcoming Obstacles/Lessons in Resilience sessions, including Alois Reitbauer’s (Dynatrace Software) cautions on how to ensure that delivery pipeline automation code won’t devolve into legacy code and Josh Michielsen’s (Condé Nast International) insider’s take on the lessons learned from operating a Kubernetes driven global cloud native platform. Building Secure Systems sessions like Jennifer Davis’ (Microsoft) survey of the cloud security tools and practices everyone should. Building Resilient Systems sessions, such as Jenn Strater’s (Gradle) guide to using data to better debug build errors, speed up individual runs, and make a happy release process, or Heidi Waterhouse’s (LaunchDarkly) reveal of the often overlooked factors that dramatically affect...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    Machine Learning at Enterprise Scale (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (40 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experience significant hurdles and setbacks throughout the journey. In this practical ebook, data scientists and machine learning engineers explore six common challenges that teams face every day when creating, managing, and scaling ML applications. For each problem, you’ll get hard-earned advice from Hussein Mehanna, AI engineering director for Google Cloud; Nakul Arora, VP of product management and marketing at Infosys; Patrick Hall, senior director for data science products at H2O; Matt Harrison, consultant and corporate trainer at MetaSnake; Joao Natali, data science director at Neustar; and Jerry Overton, data scientist and technology fellow at DXC. Accomplished data scientist Piero Cinquegrana and Matheen Raza of Qubole examine ways to overcome challenges that include: Reconciling disparate interfaces Resolving environment dependencies Ensuring close collaboration among all ML stakeholders Building or renting adequate ML infrastructure Meeting the scalability needs of your application Enabling smooth deployment of ML projects
    Note: Online resource; Title from title page (viewed July 25, 2019)
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    What Is Blockchain? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone’s talking about blockchain. This exciting technology has the potential to impact our lives in much the same way as the internet did, but few understand how it actually works. Written for business technology leaders, this report breaks down the complexity of blockchain into plain language and simple illustrations so you can easily explain it to your colleagues. Sir John Hargrave and Evan Karnoupakis go beyond the hype to help you discover valuable opportunities for using blockchain in your business. The practical examples in this report will inspire you to get started on your own project; the real-world lessons will ensure you get it right. Understand the building blocks of blockchain, including the decentralized ledger, nodes, consensus protocols, and smart contracts Get up to speed on basic blockchain concepts, such as mining, forking, governance, and regulation Learn the power of the Blockchain Network Effect, the mystery of the Consensus Paradox, and other key blockchain principles Discover the challenges to setting up a blockchain project, plus four simple best practices to succeed
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781098114749/?ar
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    What Are Miniservices? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Miniservices provide a valuable middle ground between monoliths and microservices. As Nicholas Keune explains in this report, miniservices are suited for application landscapes involving data-intensive workloads that span monoliths and microservices or cross the traditional boundaries of a service context. Drawn from the work of many development teams, the report gives a model and language to data-centric system attributes so that they can be considered more proactively in the design discussion. Combining monolithic corporate or third-party systems with microservices requires a design pattern to balance both local and global aspects of the data lifecycle. The approach advocated here, called a data discourse , is both flexible and bounded by guiding principles that help bring data discussions into early architectural conversations. Using real-world experiences and use cases, the report focuses on three of the most commonly observed attributes in a miniservice: consistency, transactionality, and proximity. The examples illustrate how design discussions about data discourses lead to miniservice creation, and how miniservices help solve otherwise difficult architectural challenges. With this report, you’ll learn: What miniservices are and how they offer solutions to challenges What data discourses are and how to use them How data discourses and miniservices help shift design discussions around data
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492073505/?ar
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    Terraform : Up & Running, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (360 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions Learn how to write production-grade Terraform modules Dive into manual and automated testing for Terraform code Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack Deploy server clusters, load balancers, and databases Use Terraform to manage the state of your infrastructure Create reusable infrastructure with Terraform modules Use advanced Terraform syntax to achieve zero-downtime deployment
    Note: Online resource; Title from title page (viewed September 19, 2019)
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    Storytelling in Design (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Dahlström, Anna Storytelling in design
    Keywords: Electronic books ; local ; Erzählen ; Benutzeroberfläche ; Produktgestaltung ; Design
    Abstract: The number of devices we use on a daily basis is growing, with different devices playing different role at different times. Our ability as designers to control where users are coming from and how they get around the experiences we design is fading. Yet our need to ensure we understand where they are in their journey, so that we can deliver the right content and interactions at the right time and on the right device, is ever more important. By examining tried-and-tested storytelling principles from film, fiction, and music and applying them to the context of design and business, this book takes you on a journey to explore why storytelling matters and how you can apply it to your multi-device design projects and to your organization. For UX designers who want to learn how to apply simple storytelling tools, this comprehensive guide is a must. Understand the role of storytelling and why it matters in multi-device design Learn how to apply storytelling principles and tools to your project Define multi-device interaction design, and create a better user experience across devices Use storytelling principles to tell, sell, and present your multi-device design work Take advantage of case studies and examples of DOs and DON’Ts
    Note: Online resource; Title from title page (viewed December 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491959411/?ar
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    Spotlight on Cloud : The Future of Internet Security with Bruce Schneier (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Spotlight on Data : Creating Smart Products Requires Collaboration with Gretchen Anderson (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Spotlight on Cloud : Becoming Cloud Native with Jon Collins (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Startups seem to come out of nowhere, disrupting their markets and leaving traditional organizations to ask themselves how they too can adopt cloud-centric models and approaches. But just how realistic is this? Today’s enterprises are sometimes criticized for legacy thinking, but they also have to bear the burden of infrastructure, supply chains, security, governance frameworks, and customer drivers that can’t be changed at the flick of the switch. Here's the good news: enterprise concerns and cloud native principles may be better aligned than you think. Flexible infrastructure is becoming a staple of modern data centers. Microservices models align with software architecture best practices, while Agile innovation approaches such as DevOps are maturing in governance. At the same time, cybersecurity and risk management is an area of traditional strength, and operational principles used in the enterprise are as important as ever. Find out how businesses can adopt cloud native principles without throwing away what it means to be an enterprise. Recorded on May 2, 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.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    R Cookbook, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (598 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492040675/?ar
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    Programming Quantum Computers (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (333 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Quantum computers are poised to kick-start a new computing revolution—and you can join in right away. If you’re in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer’s guide to understanding quantum computing. Rather than labor through math and theory, you’ll work directly with examples that demonstrate this technology’s unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU —Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives —Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications —Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm.
    Note: Online resource; Title from title page (viewed July 8, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492039679/?ar
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    Programming PyTorch for Deep Learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (217 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Deep learning is changing everything. This machine learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework. Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data. Learn how to deploy deep learning models to production Explore PyTorch use cases in companies other than Facebook Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia
    Note: Online resource; Title from title page (viewed September 27, 2019)
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    Practical Time Series Analysis (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (497 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
    Note: Online resource; Title from title page (viewed October 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041641/?ar
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    Practical Data Science with SAP (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492046431/?ar
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    Practical Automated Machine Learning on Azure (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (196 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply Automated Machine Learning to your data right away. Learn how companies in different industries are benefiting from Automated Machine Learning Get started with Automated Machine Learning using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiences Learn how to get started using Automated Machine Learning for use cases including classification and regression.
    Note: Online resource; Title from title page (viewed September 24, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492055587/?ar
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    Native Mobile Development (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (484 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Native Application Development will provide engineers with professionally developed and curated recipes for the 20 of the most common tasks that represent functionality seen in modern native iOS and Android applications. The selected tasks will provide a cross-reference for each platform–a modern Rosetta Stone, of sorts. A developer can look up an easily translatable set of instructions for completing a routine bit of functionality in both platforms in a way that follows best practices. Following that, we'll provide step-by-step direction to create a fully-functional application using modern practices and designs that will utilize those tasks, one in each platform. The development of the apps will be laid out side-by-side, so that the friction usually involved in switching between platforms while developing is greatly reduced. By the end of the book, the reader will have developed both an iOS app and an Android with exactly the same core features, as well as some additional features that are relevant and unique to each app’s operating system. This book will provide a blueprint for software engineers to create an app that will reach 99.9% of the smartphone market, while functioning as a Rosetta stone in multi-platform development. The reality of modern application development is that most developers will need to have some reference across platforms at some point, if not as a regular requirement.
    Note: Online resource; Title from title page (viewed November 13, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492052869/?ar
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    Modern Web Development on the JAMstack (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (123 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to run your web projects—everything from simple sites to complex applications—without a single server. It’s possible with the JAMstack, a modern web development architecture for deploying fast, highly-scalable sites and applications that don’t require traditional origin infrastructure. This practical report explains how the JAMstack delivers better performance, higher security, and lower cost of scaling than server-run web apps. Based on client-side J avaScript, reusable A PIs, and prebuilt M arkup, the JAMstack sits at the center of several converging trends and technologies already being used to support today’s web projects. Authors Mathias Biilmann and Phil Hawksworth from Netlify demonstrate how the JAMstack drastically improves performance, increases reliability, and reduces the surface for attacks. With this report, you’ll explore: Methods for solving web development challenges—from bloated legacy architecture to managing microservices Why the JAMstack’s cleaner architecture eliminates the need to scale sites up front How separating the frontend from your build process makes maintenance easier Best practices for adopting the JAMstack in your organization A case study that examines how Smashing Magazine applied the JAMstack for commerce, authentication and membership, and publishing at scale
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492058571/?ar
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    Microservices for Java Developers, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (117 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Is microservice architecture right for your organization? Microservices have many benefits, but they also come with their own set of drawbacks. With this updated edition, Java developers and architects will learn how to navigate popular application frameworks such Spring Boot and MicroProfile to deploy and manage microservices at scale with Linux containers. This hands-on, example-driven guide provides step-by-step instructions to help you get started. Adopting microservices requires much more than changes to your technology. Author Rafael Benevides, director of developer experience at Red Hat, also examines the organizational agility necessary to deliver these services. This concise ebook shows you how rapid feedback cycles, autonomous teams, and shared purpose are key to making microservices work. Learn why microservices require you to think differently about building, deploying, and operating cloud-native applications Design microservices using the popular Spring Boot and Eclipse MicroProfile frameworks Build an API gateway with Apache Camel to help clients access microservices Use Docker and Kubernetes to deploy microservices, regardless of language Run microservices at scale using cluster management, failover, and load-balancing techniques Use OpenTracing to monitor requests, response time, and the path of particular invocations
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492038290/?ar
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    Learning Chaos Engineering (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (175 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments. System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. You’ll also learn how to work toward continuous chaos through automation with features you can share across your team and organization. Learn to think like a chaos engineer Build a hypothesis backlog to determine what could go wrong in your system Develop your hypotheses into chaos engineering experiment Game Days Write, run, and learn from automated chaos experiments using the open source Chaos Toolkit Turn chaos experiments into tests to confirm that you’ve overcome the weaknesses you discovered Observe and control your automated chaos experiments while they are running
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050995/?ar
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    Making Things Happen (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (56642 pages)
    Edition: 1st edition
    Keywords: Audiobooks ; local
    Abstract: In the updated edition of this critically acclaimed and bestselling book, Microsoft project veteran Scott Berkun offers a collection of essays on field-tested philosophies and strategies for defining, leading, and managing projects. Each essay distills complex concepts and challenges into practical nuggets of useful advice, and the new edition now adds more value for leaders and managers of projects everywhere. Based on his nine years of experience as a program manager for Internet Explorer, and lead program manager for Windows and MSN, Berkun explains to technical and non-technical readers alike what it takes to get through a large software or web development project. Making Things Happen doesn't cite specific methods, but focuses on philosophy and strategy. Unlike other project management books, Berkun offers personal essays in a comfortable style and easy tone that emulate the relationship of a wise project manager who gives good, entertaining and passionate advice to those who ask. Topics in this new edition include: How to make things happen Making good decisions Specifications and requirements Ideas and what to do with them How not to annoy people Leadership and trust The truth about making dates What to do when things go wrong Complete with a new forward from the author and a discussion guide for forming reading groups/teams, Making Things Happen offers in-depth exercises to help you apply lessons from the audio book to your job. It is inspiring, funny, honest, and compelling, and definitely the one audio book that you and your team need to have within arm's reach throughout the life of your project. Coming from the rare perspective of someone who fought difficult battles on Microsoft's biggest projects and taught project design and management for MSTE, Microsoft's internal best practices group, this is valuable advice indeed. It will serve you well with your current work, and on future projects to come.
    Note: Online resource; Title from title page (viewed May 13, 2019)
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    Head First Kotlin (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (480 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What will you learn from this book? Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer. You’ll learn everything from language fundamentals to collections, generics, lambdas, and higher-order functions. Along the way, you’ll get to play with both object-oriented and functional programming. If you want to really understand Kotlin, this is the book for you. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Kotlin uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.
    Note: Online resource; Title from title page (viewed February 22, 2019)
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    Getting DataOps Right (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Many large organizations have accumulated dozens of disconnected data sources to serve different lines of business over the years. These applications might be useful to one area of the enterprise, but they’re usually inaccessible to other data consumers in the organization. In this short report, five data industry thought leaders explore DataOps—the automated, process-oriented methodology for making clean, reliable data available to teams throughout your company. Andy Palmer, Michael Stonebraker, Nik Bates-Haus, Liam Cleary, and Mark Marinelli from Tamr use real-world examples to explain how DataOps works. DataOps is as much about changing people’s relationship to data as it is about technology, infrastructure, and process. This report provides an organizational approach to implementing this discipline in your company—including various behavioral, process, and technology changes. Through individual essays, you’ll learn how to: Move toward scalable data unification (Michael Stonebraker) Understand DataOps as a discipline (Nik Bates-Haus) Explore the key principles of a DataOps ecosystem (Andy Palmer) Learn the key components of a DataOps ecosystem (Andy Palmer) Build a DataOps toolkit (Liam Cleary) Build a team and prepare for future trends (Mark Marinelli)
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492031765/?ar
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    Generative Deep Learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (327 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
    Note: Online resource; Title from title page (viewed June 28, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492041931/?ar
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    Artificial Intelligence Conference 2019 - Beijing, China (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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...
    Note: Online resource; Title from title screen (viewed June 28, 2019)
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    Arista Warrior, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (569 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Arista Networks has become a key player in software-driven cloud networking solutions for large data center, storage, and computing environments, and is poised to make an impact in other areas as well. In this updated edition, renowned trainer, consultant, and technical author Gary A. Donahue ( Network Warrior ) provides an in-depth, objective guide to Arista’s products. You’ll learn why the company’s network switches, software products, and Extensible Operating System (EOS) are so effective. Anyone who has or is pursuing networking certification (especially Arista’s own!) or who is just curious about why Arista is better will benefit from this book, especially entrenched administrators, engineers, or architects tasked with building an Arista network. Pick up this in-depth guide and find out how Arista can help both you and your company. Topics in the second edition include: Configuration Management: config sessions, config replace, and config checkpoints CloudVision: Arista’s management, workload orchestration, workflow automation, and configuration tool VXLAN: Layer 2 overlay networking FlexRoute: two million routes in hardware Tap Aggregation: make your switch or blade into a Tap Aggregation device Advanced Mirroring: mirror to a port-channel or even the CPU eAPI: Arista’s fabulous extended Application Programmable Interface
    Note: Online resource; Title from title page (viewed July 2, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781491953037/?ar
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    What's New in Java 11? (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The Java release train is moving faster than ever. Beginning with Java 9 in 2017, the platform’s one-to-three year release cycle accelerated to every six months, ensuring that timely new features and fixes would reach developers quickly. But as this ebook explains, Java 11 is more than just another incremental release. Benjamin Muschko, software engineer and consultant, examines the many changes in Java 11, including several new features and the removal or deprecation of some older ones. You’ll also learn the intricate differences between the Oracle JDK and other open source JDK distributions when it comes to licensing terms and patch update availability. This ebook covers: The merging of Oracle JDK and OpenJDK: Flight Recorder, Java Mission Control, and other commercial features are now free. Latest features and API enhancements: Java 11 includes a modern HTTP client, Unicode 10, nest-based access control, and more. Removed APIs and deprecations: Java 11 eliminates Java EE modules as well as applets and Java Web Start and decouples JavaFX from the JDK. Performance and security: Java 11 features two new garbage collectors and supports TLS 1.3, the latest version of the Transport Layer Security protocol.
    Note: Online resource; Title from title page (viewed January 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492047575/?ar
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    Using AutoML to automate selection of machine learning models and hyperparameters (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Unblocked (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Imagine it's 1994 and the dawn of the internet. In many ways, it is. A growing army of pioneers is once again laying the rails for a new digital world. Like the first digital revolution, this one will also transform the way we live, work and play. It will disrupt entrenched industries. And shatter conventional business models. With so much at stake, how do you prepare? Unblocked takes you past the hype and insider speak to show you what blockchains are and how they’re poised to change our world. Blockchains are more than flexible multi-tools that hold promise to solve our most pressing digital problems including privacy risks, hacks, data misuse, fakes and fraud. Along with a family of related technologies, they are a social movement that offers an abundance of opportunity for those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What's coming in this next era—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title screen (viewed July 18, 2019)
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    Unblocked (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (274 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand the Blockchain Opportunity: No Technical Background Required . Remember thedawn of the internet? The advent of mobile and social media? Yet another digital revolution is nowunderway. Like its predecessors, blockchains are about to transform the way we live, work, and play,while disrupting entrenched industries and shattering conventional business models. Move past the hype and equip yourself to forecast how blockchains will change our world and impactyou and your business. Author Alison McCauley helps non-technical executives to understandhow this technology will trigger change, shift the balance of power, and bring competitiveadvantage to those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What this new technology revolution embraces—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title page (viewed June 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492057963/?ar
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    The well-rounded architect (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Being a successful architect requires more than just a good understanding of architecture. Patrick Kua (N26) explores the breadth of skills and experience an architect should focus on and outlines the balance of traits that makes a well-rounded architect. Patrick examines the architect role from a number of perspectives—looking both inward and outward—to determine the different skill areas an architect requires to be successful. Patrick also shares some of the typical traps that an architect who focuses too much on a single aspect falls into and discusses their negative consequences to teams and organizations. Patrick concludes by offering a map for you to assess and plan your own development to learn and maintain a balanced set of skills and become a well-rounded architect. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    The Experience-Centric Organization (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (266 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers. Author Simon Clatworthy shows you how to transform your organization into one that aligns your customers’ experiential journey with platforms, organizational structures, and strategic alliances. Rather than treat customer experience as an add-on to product and service design, you’ll discover how experience-centricity can drive the whole organization. Learn the five steps necessary to transform into an experience-centric organization Explore the underlying structure needed to design and deliver memorable experiences Understand how customers and clients experience products and services Develop experiential DNA as an extension of your brand DNA Be proactive by translating cultural trends into experiences
    Note: Online resource; Title from title page (viewed July 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492045762/?ar
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    The ethics of analytics (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    The Elements of Kubernetes : Foundational concepts for apps running on Kubernetes (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The Elements of Style is a foundational guide to writing well. It effectively summarizes how to harness the power of the English language to write high-quality prose of almost any kind. In computing, we have similar guides for various technologies: Python offers The Zen Of Python , Ruby has The Rails Doctrine , and so on. These documents are a North Star that guides their community toward the same goals. We need a similar guide for Kubernetes. It should set best practices for how app developers and operators should think about and use the features in Kubernetes to build and deploy reliable, stable apps. We don’t have one today, but the Kubernetes community has the experience to build one. Drawing on his own and the community’s experiences, Aaron Schlesinger (Microsoft) details an “Elements of Kubernetes” guide, to be used by app developers and operators alike. You’ll leave with a list of best practices you can apply to your app now. Topics include: Setting up your new dev-test workflow Building a good CI/CD pipeline Debugging your app in production Breaking up your monolithic app into microservices (and when not to do it) Building crash-only software This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    The Care and Feeding of Data Scientists (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As a discipline, data science is relatively young, but the job of managing data scientists is younger still. Many people undertake this management position without the tools, mentorship, or role models they need to do it well. This report examines the steps necessary to build, manage, sustain, and retain a growing data science team. You’ll learn how data science management is similar to but distinct from other management types. Michelangelo D’Agostino, VP of Data Science and Engineering at ShopRunner, and Katie Malone, Director of Data Science at Civis Analytics, provide concrete tips for balancing and structuring a data science team. The authors provide tips for balancing and structuring a data science team, recruiting and interviewing the best candidates, and keeping them productive and happy once they're in place. In this report, you'll: Explore data scientist archetypes, such as operations and research, that fit your organization Devise a plan to recruit, interview, and hire members for your data science team Retain your hires by providing challenging work and learning opportunities Explore Agile and OKR methodology to determine how your team will work together Provide your team with a career ladder through guidance and mentorship
    Note: Online resource; Title from title page (viewed June 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492053972/?ar
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    Test in production : Yes, you can (and you should) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Technology Strategy Patterns (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Technologists who want their ideas heard, understood, and funded are often told to speak the language of business—without really knowing what that is. This book’s toolkit provides architects, product managers, technology managers, and executives with a shared language—in the form of repeatable, practical patterns and templates—to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Taking graph applications to production (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Strata Data Conference 2019 - San Francisco, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 122 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Thousands of the data scientists, analysts, engineers, developers, and executives converged at the Strata Data Conference San Francisco in March 2019 to absorb the insights and wisdom of the data world's best minds. The conference featured more than 300 speakers, 10 keynotes, 10 tutorials, and 150+ technical sessions. This video compilation captures the best from the conference, offering more than 100 hours of material to review at your own pace. Highlights include: The Strata Business Summit - speakers, executive briefings, and tech sessions laser focused on a central theme: How do the world’s leading companies build their successful data strategies? Learn about recommendation engines, AI-based personalization solutions, data governance, ML based customer insight harvesting, and more from data wizards like Zachery Anderson (Electronic Arts), Eric Bradlow (The Wharton School), David Talby (Pacific AI), Paco Nathan (derwen.ai), Jonathan Francis (Starbucks), and JoLynn Lavin (General Mills). The Strata Data Ethics Summit – Is your AI really making good decisions or have you built a deceptive black box that reinforces ugly stereotypes? Alistair Croll (Strata Chair), Tim O'Reilly (O'Reilly Media), and Susan Etlinger's (Altimeter Group) eight hour deep dive into the thorny issues of data and algorithms with help from Jana Eggers (Nara Logics), Rumman Chowdhury (Accenture), Kathy Baxter (Salesforce), Carole Piovesan (McCarthy Tétrault), and more. Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. Sessions devoted to Data Science, Machine Learning & AI, including Sharad Goel (Stanford University) on the challenges of "fair machine learning", which aims to ensure that decisions guided by algorithms are equitable; Kelley Rivoire (Stripe) on scaling machine learning using the Railyard API; Vinod Vaikuntanathan (MIT) on performing machine learning on encrypted data; and Jeremy Howard (platform.ai) on recent advances in deep learning that allow non-engineers to train neural networks from scratch without needing code or pre-existing labels. Sessions focus...
    Note: Online resource; Title from title screen (viewed March 27, 2019)
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    Spotlight on Learning from Failure : Stablecoin Derisks The Blockchain Landscape with Wayne Chang (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
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    Spotlight on Innovation : The Future Beyond Digital—Entering a New Era of Exploration and Collaboration with Greg Satell (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Innovation isn’t just about solving existing problems faster and more efficiently; it’s about discovering and solving new ones. To remain competitive, today’s business leaders need to embrace not only new technologies but an entirely new mindset when it comes to innovation. Recorded on November 28, 2018. 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.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
    URL: lizenzpflichtig
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  • 96
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    Spotlight on Innovation : AI Trends with Roger Chen (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
    URL: lizenzpflichtig
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  • 97
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    Spotlight on Data : Improving Uber’s Customer Support with Natural Language Processing and Deep Learning with Piero Molino (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: For a company looking to provide delightful user experiences, it's critical to resolve customer issues quickly and efficiently. Uber has implemented COTA, a system that helps representatives provide the best experience to customers by suggesting the best solutions. COTA improves the speed and reliability of customer support through automated ticket classification and answer selection for support representatives. By improving speed and reliability, COTA also helps reduce customer support operations costs. In this Spotlight on Data , find out how Uber leverages large-scale data and deep learning models for operational efficiency and improved user experience. Piero Molino details how Uber has reduced issue resolution time by 20% while maintaining levels of customer satisfaction, using NLP, deep learning, A/B testing, and productionized models. Recorded on July 2, 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.
    Note: Online resource; Title from title screen (viewed October 17, 2019)
    URL: lizenzpflichtig
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  • 98
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    Spotlight on Data : Data Storytelling with Mico Yuk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed July 30, 2019)
    URL: lizenzpflichtig
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  • 99
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    Spotlight on Data : Data as an Asset with Friederike Schüür and Jen van der Meer (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Our online lives have long left data traces, and the adoption of smartphones, wearables, smart speakers, smart doorbells, and smart everything else has expanded the range of data-collection devices. The early practice of data science on exhaust data—data generated as the by-product of operations—primed the operational use of data. But we can now craft data assets that move beyond exhaust data to unlock an entire suite of new opportunities—new business models, new value propositions, and new methods of strengthening customer relationships. In this edition of Spotlight on Data , Friederike Schüür and Jen van der Meer present an approach to data strategy that goes beyond the mere operational use of data. You'll learn how our current thinking about data strategy—about everything from technology to people and process recommendations—must be reconfigured to move toward data as an asset: a strategy that accelerates and compounds and a set of smart choices that unlocks more value over time. Recorded on May 20, 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.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 100
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    Spotlight on Data : Caching Big Data for Machine Learning at Uber with Zhenxiao Luo (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 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.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
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