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  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (620)
  • Electronic books ; local  (620)
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (54 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions
    Note: Online resource; Title from title page (viewed February 25, 2023) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098107499 , 1098107497
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.75/65
    Keywords: Database management Software ; Data mining Software ; Electronic books ; local ; Electronic books
    Abstract: Analytics projects are frequently long-drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality Construct accurate, performant, reliable, and well-documented workflows that automate business processes Learn intermediate techniques using spatial analytics, reporting, and in-database tools Dive into advanced Alteryx capabilities, including predictive and machine learning tools Get introduced to the entire Alteryx Analytic Process Automation (APA) Platform
    Note: Online resource; Title from title page (viewed March 25, 2023) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (450 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There’s a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your application. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time messaging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098103620 , 1098103629
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: SPARK (Electronic resource) ; Python (Computer program language) ; Data mining ; Electronic books ; local ; Electronic books ; Data mining ; Python (Computer program language) ; SPARK (Electronic resource)
    Abstract: The amount of data being generated today is staggering. And growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. Familiarize yourself with Spark's programming model and ecosystem Learn general approaches in data science Examine complete implementations that analyze large public datasets Discover which machine learning tools make sense for particular problems Explore code that can be adapted to many uses
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (59 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get the lowdown on CockroachDB, the elastic SQL database built to handle the demands of today's data-driven world. With this practical guide, software developers, architects, and DevOps teams will discover the advantages of building on a distributed SQL database. You'll learn how to create applications that scale elastically and provide seamless delivery for end users while remaining exceptionally resilient and indestructible. Written from scratch for the cloud and architected to scale elastically to handle the demands of cloud native and open source, CockroachDB makes it easier to build and scale modern applications. If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultralow latencies to globally distributed end users. With this thorough guide, you'll learn how to: Plan and build applications for distributed infrastructure, including data modeling and schema design Migrate data into CockroachDB Read and write data and run ACID transactions across distributed infrastructure Optimize queries for performance across geographically distributed replicas Plan a CockroachDB deployment for resiliency across single-region and multiregion clusters Secure, monitor, and optimize your CockroachDB deployment
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Authors Patrick Hall and Rumman Chowdhury created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large. Learn how to create a successful and impactful responsible AI practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (156 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve. Rather than focus on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more. Discover how to: Use Rust's standard libraries and data types such as strings, vectors, dictionaries, and sets to create systems programs Write and test Rust programs and functions Read and write files, including stdin, stdout, and stderr Document and validate command-line arguments Write programs that fail gracefully Parse raw and delimited text as well as Excel data Use and control randomness
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: With the advent of microservices, Kubernetes, public cloud, and hybrid computing, SREs and system engineers are facing more complexity than ever before. To tackle this problem, you need a unified control plane to manage the networking among your applications running on these distinct platforms. This definitive guide shows you how to automate networking for simple and secure application delivery with Consul. Author Luke Kysow, Consul engineer at HashiCorp, demonstrates how this service mesh solution provides a software-driven approach to security, observability, and traffic management. Once you learn how to implement zero-trust networking by deploying Consul on multiple platforms, you'll be able to take control of application traffic, prevent outages, view metrics, integrate with legacy systems, and more. Dive into the characteristics of service meshes, zero-trust networking, and traffic-shaping patterns Deploy Consul on multiple platforms, including Kubernetes and virtual machines Learn how to secure, monitor, and manage your application traffic with Consul Use this guide to deploy and operate applications as a system administrator, DevOps engineer, or developer
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098112448 , 109811244X
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 006.7/6
    Keywords: Application software Development ; Quantum computing ; Electronic books ; local ; Electronic books ; Quantum computing ; Application software ; Development
    Abstract: Why is the quantum computing market expected to grow by nearly $1.3 billion over the next five years? Given their quantum mechanical nature, quantum computers can solve difficult problems in fields such as chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply the appropriate Qiskit classes, methods, and functions. You'll also learn how to use the latest version of the Open Quantum Assembly Language, OpenQASM 3.0.
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: TypeScript has conquered the world of JavaScript: it's one of the world's fastest growing and most popular languages across developer surveys, widely used in consumer and business companies alike, and frequently credited for helping massive web applications scale. But what is TypeScript? How does it work, why does it work, and how can we use it? Learning TypeScript takes beginner to intermediate JavaScript programmers from knowing nothing about "types" or a "type system" to full mastery of the fundamentals of TypeScript. It's more than a means to find bugs and typos--it's a useful system for declaring the way our JavaScript should work and helping us stick to it. You'll learn how TypeScript: interacts with JavaScript analyzes and understands code augments your existing development pattern helps you document your code works with IDEs to provide refactoring tools assists local development in refactoring code helps you develop more quickly with fewer bugs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (85 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples. You'll start by learning the core features of the Selenium framework (composed by WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium is the de facto framework for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub. With this book, you'll learn how to: Set up a Java project containing end-to-end tests that use Selenium WebDriver Conduct automated interaction with web applications Use strategies for managing browser-specific capabilities and cross-browser testing Interact with web forms, manage pop-up messages, and execute JavaScript Control remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloud Model web pages using object-oriented classes to ease test maintenance and reduce code duplication
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems using tools currently in use in the software industry. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, with patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. Understand containers and Kubernetes--no experience necessary Run your own applications on managed cloud Kubernetes services or on-premises environments Design your own cloud native services and infrastructure Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for observability and monitoring Secure your containers and clusters in production
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your organization adopts microservices, you also need a service mesh, the infrastructure layer that handles interservice communication in microservice architectures. This seminal book provides patterns and operational best practices to help you deploy and use service meshes in a way that meets your company's goals and needs. Developers face a wide range of choices today: which service mesh to use, which features to deploy, and the best ways to exploit and deploy those features. Whether you're investigating service meshes or already use one, authors Lee Calcote and Nic Jackson provide universal patterns applicable to any service mesh: Istio, Linkerd, Consul, App Mesh, and more. Get a vendor-neutral perspective on where each mesh shines (and perhaps, doesn't) Understand how service meshes benefit developers, operators, and service owners differently Determine whether you're running your mesh effectively Avoid service mesh lock-in through use of service mesh abstractions Learn common deployment patterns for implementing a specific service mesh function Use configuration best practices to avoid common pitfalls Explore federation of service mesh deployments and other service mesh types As microservices proliferate your environment, fear not: service meshes are here to manage your service sprawl. This book shows you how.
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (121 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh. Learn API fundamentals and architectural patterns for building an API platform Explore evolving trends such as asynchronous and streaming APIs Help drive your API program by performing an informed architectural role Build and configure key components of an API platform Deploy gateways and service meshes based on case studies Understand core security and vulnerabilities in API architecture Secure data and services using OAuth 2.0, TLS, and web application firewalls
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Your code is a testament to your skills as a developer. No matter what language you use, your code should be clean, elegant, and uncluttered? With test-driven development (TDD), you'll write better code--code that's easy to understand, retains its elegance, and works for years to come. This indispensable guide will show you how TDD works in three different languages: Go, JavaScript, and Python. With Learning Test-Driven Development at your side, you'll be able to: Tame domain complexity using a divide-and-conquer approach Understand how TDD works across languages, testing frameworks, and domain concepts See how TDD enables continuous integration and continuous delivery Support refactoring and redesign with TDD Set up a continuous integration environment with the unit tests produced during TDD Write clean, uncluttered code using TDD in Go, JavaScript, and Python
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 17
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them. Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes. Learn why you need a security and observability strategy for cloud native applications and determine your scope of coverage Understand key concepts behind Kubernetesâ??s security and observability approach Explore the technology choices you can make to meet each aspect of this strategy Discover how to split security responsibilities across multiple teams or roles Learn ways to architect Kubernetes security and observability for multicloud and hybrid environments
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 18
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098106621 , 1098106628
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.74
    Keywords: Databases ; Graph databases ; Electronic books ; local
    Abstract: With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available. You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization. Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning Learn how graph analytics and machine learning can deliver key business insights and outcomes Use five core categories of graph algorithms to drive advanced analytics and machine learning Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen Discover insights from connected data through machine learning and advanced analytics
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 19
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492093138 , 1492093130
    Language: English
    Pages: 1 online resource (106 pages)
    Edition: 4th edition
    DDC: 005.75/65
    Keywords: MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; Relational databases ; Electronic books ; local ; Electronic books
    Abstract: For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch. In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON. You'll learn how to: Connect to a server, issue queries, and retrieve results Retrieve data from the MySQL Server Store, retrieve, and manipulate strings Work with dates and times Sort query results and generate summaries Assess the characteristics of a dataset Write stored functions and procedures Use stored routines, triggers, and scheduled events Perform basic MySQL administration tasks Understand MySQL monitoring fundamentals
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492088851 , 1492088854
    Language: English
    Pages: 1 online resource (650 pages)
    Edition: 4th edition
    DDC: 005.75/85
    Keywords: SQL server ; SQL (Computer program language) ; Client/server computing ; Electronic books ; local ; Electronic books ; Client/server computing ; SQL (Computer program language) ; SQL server
    Abstract: For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 13 open source database products. You'll also get a concise overview of the relational database management system (RDBMS) model and a clear-cut explanation of foundational RDBMS concepts--all packed into a succinct, comprehensive, and easy-to-use format. Sections include: Background on the relational database model, including current and previous SQL standards Fundamental concepts necessary for understanding relational databases and SQL commands An alphabetical command reference to SQL statements, according to the SQL:2016 ANSI standard The implementation of each command by MySQL, Oracle, PostgreSQL, and SQL Server An alphabetical reference of the ANSI SQL:2016 functions and constructs as well as the vendor implementations Platform-specific functions unique to each implementation
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 21
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (78 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with Python code will help you see how the math applies to the work you'll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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  • 22
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098108830 , 1098108833
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.26/2
    Keywords: Quantum computing ; Programming languages (Electronic computers) ; Electronic books ; local ; Electronic books ; Quantum computing ; Programming languages (Electronic computers)
    Abstract: Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle, from implementing the program to testing and debugging it to running it on quantum hardware, and you'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. In this pocket guide, you'll find: Q# language details, including data types, statements, syntax, and expressions Guidelines for organizing Q# code and invoking it from different environments Information on simulators and tools in the Microsoft Quantum Development Kit Advice on testing and debugging tools and techniques for quantum programs
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 23
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (133 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems. Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses the inherent trade-offs, as well as where clouds have similarities and where they're fundamentally different. Learn how the cloud provides superior security to what was achievable in an on-premises world Understand the principles and mental models that enable you to make optimal trade-offs as part of your solution Learn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problems Deal with security challenges and solutions both horizontally and vertically within your business
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 24
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Do you use Python? Do you feel like your projects are getting bigger and bigger? Are you feeling the pain as your codebase grows and gets tougher to debug and maintain? Python is an easy language to learn and develop in, but that also means it's easy for systems to grow beyond comprehension quickly. Thankfully, Python has features that help developers overcome maintainability woes. In this book, we're going to look at how to effectively use Python's typing system to the max. We'll look at user defined types, such as classes and enums, as well as Python's type hinting system. We'll explore how to make your Python extensible, and how to have a comprehensive testing strategy as a safety net. At the end, you'll be able to write clearer and more maintainable code using Python types.
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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  • 25
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: What will you learn from this book? Many people who use Git rely on "recipes"—basic copy-paste commands—without understanding how this version control system actually works. But what do you do if you find yourself in a tight spot? You can't simply wing it. With this unique hands-on guide, you'll learn valuable ways to use Git in many different situations. Raju Gandhi peels back the layers to reveal the simple yet powerful engine that powers Git, with activities that help you truly understand this crucial tool as you get it up and running. You’ll master branches, tags, stashes, and merges; learn best practices; collaborate with your team; and unlock the full potential of Git. What’s so special about this book? If you've read a Head First book, you know what to expect—a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you’ll learn Git through a multi-sensory experience that engages your mind, rather than a text-heavy approach that puts you to sleep
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 26
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (157 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations. Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once your business and data experts both possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization. Learn the fundamental data skills required to work with data Use data visualization to influence change in your organization Learn how to apply data techniques to effectively work with data end to end Understand how to communicate data points clearly and persuasively Appreciate why different stakeholders often have divergent needs and views Create a playbook for using data with different departments
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 27
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: With Amazon Web Services and other platforms designed for rapid adaptation and failure recovery, cloud computing is more like programming than traditional system administration. For developers, this practical book provides system administration knowledge to ensure you're using AWS effectively, so you can build a robust and resilient application infrastructure. System administrators will learn how to automate their favorite tools and processes. In the second edition of this guide, authors Federico Lucifredi, Jacob Zimmerman, and Mike Ryan show developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Fully configuring infrastructure with automation, this book walks you through developing a complete application example along the way. Even small DevOps teams can manage massively scalable application infrastructures once they drop old views and master automation. Securely deploy and manage your applications with AWS tools Automate AWS configuration management with Python, Puppet, and Ansible Deploy applications with autoscaling and elastic load balancing Explore ways to deploy application and infrastructure updates Save time on development and operations with reusable strategies Embrace GitOps versioning of infrastructure and application code alike Learn strategies for managing log files in AWS environments Configure a cloud-aware DNS service with Route 53 Use AWS CloudWatch to monitor your infrastructure and applications
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 28
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492094494 , 1492094498
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 658.4/03
    Keywords: Database management ; Machine learning ; Management information systems ; Business Databases Management ; Information storage and retrieval systems Reliability ; Electronic books ; local ; Electronic books ; Bases de données ; Gestion ; Apprentissage automatique ; Systèmes d'information de gestion ; Affaires ; Bases de données ; Gestion ; Systèmes d'information ; Fiabilité
    Abstract: Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 29
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (63 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to coordinate and maintain apps based on existing microservices, including third-party services that run outside their ecosystem. This cookbook provides proven recipes to help you get those many disparate parts to work together in your network. Author Mike Amundsen provides step-by-step solutions for finding, connecting, and maintaining applications designed and built by people outside the organization. Whether you're working on human-centric mobile apps or creating high-powered machine-to-machine solutions, this guide shows you the rules, routines, commands, and protocols--the glue --that integrates individual microservices so they can function together in a safe, scalable, and reliable way. Design and build individual microservices that can successfully interact on the open web Increase interoperability by designing services that share a common understanding Build client applications that can adapt to evolving services without breaking Create resilient and reliable microservices that support peer-to-peer interactions on the web Use web-based service registries to support runtime "find-and-bind" operations that manage external dependencies in real time Implement stable workflows to accomplish complex, multiservice tasks consistently
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 30
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (187 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: You'll find several books on MySQL basics today, but only one that covers advanced MySQL performance--and nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching developers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by DBAs. Daniel Nichter shows you how to apply best practices and techniques that directly affect efficient MySQL performance. You'll learn how to focus on query response time, optimize queries and data to increase performance, and monitor and understand the most important MySQL metrics. You'll also discover how not to use MySQL, including situations where this database is clearly the wrong choice. Understand why query response time is the North Star of MySQL performance Learn why indexing, not hardware or MySQL config, is the key to performance Examine query metrics in detail, including aggregation, reporting, and analysis Explore ways of improving query response time through query optimization Understand how to monitor MySQL and learn what the metrics mean
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 31
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098103798 , 1098103793
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily. You'll learn how to: Efficiently capture, store, and process large amounts of data at an amazing speed Rapidly ingest and transform real-time data feeds in both structured and semistructured format and deliver meaningful data insights within minutes Use Time Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 32
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of the book, you'll have a solid understanding of the mainframe architecture and ecosystem, including core concepts and technologies such as COBOL, JCL, DB2, VSAM, and CICS. You'll learn how to blend in newer technologies such as the cloud, AI and machine learning, and the use of microservices. This handbook is indispensable for enterprises looking to thrive in the new digital world. Learn strategies and approaches for mainframe DevOps Update and maintain existing mainframe code, and analyze and resolve common errors Apply modern approaches to the mainframe, including microservices, APIs, cloud, and AI and machine learning Work with datasets and databases and put together effective reports Understand how to work with modern cloud systems, like AWS, for pursuing data migration
    Note: Online resource; Title from title page (viewed July 25, 2022) , Mode of access: World Wide Web.
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  • 33
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: We're building more products today than ever before, but most of them fail--not because we can't complete what we want to build but because we waste time, money, and effort building the wrong product. What we need is a systematic process for quickly vetting product ideas and raising our odds of success. That's the promise of Running Lean. In this inspiring book, Ash Maurya takes you through an exacting strategy for achieving a product/market fit for your fledgling venture. You'll learn ideas and concepts from several innovative methodologies, including the Lean Startup, business model design, design thinking, and Jobs-to-be-Done. This new edition introduces the continuous innovation framework and follows one entrepreneur's journey to uncover, design, and build a product that matters. Know when to "pivot" by changing your plan's course Maximize your efforts for speed, learning, and focus Learn the ideal time to raise your "big round" of funding Find a problem worth solving, then define a solution Engage your customers throughout the development cycle Continually test your product with smaller, faster iterations Build a feature, measure customer response, and verify or refute the idea
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 34
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This essential guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams. You'll turn to it frequently, not only because of the sheer volume of valuable information it provides but because of the real-world examples within and the clear, useful way the information is presented. With this book at your side, you'll be able to: Install Linux and perform initial setup duties, such as connecting to a network Navigate the Linux filesystem via the command line Install software from repositories and source and satisfy dependencies Set permissions on files and directories Create, modify, and remove user accounts Set up networking Format and mount filesystems Perform basic troubleshooting on hardware and software Create and manage logical volumes Work with SELinux Manage a firewall and iptables Shut down, reboot, and recover a system Perform backups and restores
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 35
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098111724 , 1098111729
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1/14
    Keywords: Functional programming (Computer science) ; Computational complexity ; Electronic books ; local ; Electronic books
    Abstract: Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. Learn functional programming fundamentals and explore the way functional programmers approach problems Understand how FP differs from object-oriented and imperative programming Use a set of practical, applicable design patterns that model reality in a functional way Learn how to incorporate FP and OOP features into software projects Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 36
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 1st edition
    DDC: 005.3
    Keywords: Application software Study guides Development ; Virtual computer systems Study guides ; Open source software ; Computer programmers Certification ; Electronic books ; local ; Electronic books ; Computer programmers ; Certification ; Open source software ; Virtual computer systems ; Application software ; Development ; Study guides
    Abstract: The ability to administer and monitor a Kubernetes cluster is in high demand today. To meet this need, the Cloud Native Computing Foundation developed a certification exam to establish a system administrator's credibility and value in the job market to confidently work in a Kubernetes environment. The Certified Kubernetes Administrator (CKA) certification exam is different from the typical multiple-choice format of other professional certifications. Instead, the CKA is a performance-based exam that requires deep knowledge of the tasks under immense time pressure. This study guide walks you through all the topics covered to fully prepare you for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to administrate a production-grade cluster Understand the objectives, abilities, and tips and tricks needed to pass the CKA exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency to perform the responsibilities of a Kubernetes system administrator Solve real-world Kubernetes problems in a hands-on command-line environment Effectively navigate and solve questions during the CKA exam
    Note: Online resource; Title from title page (viewed November 25, 2022) , Mode of access: World Wide Web.
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  • 37
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: How can you realize MySQL's full power? With High Performance MySQL , you'll learn advanced techniques for everything from choosing the right abstraction layer for databases to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve their full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, features, and tools, this revised edition helps you design a data platform that will scale with your business. You'll learn the latest in cloud-hosted MySQL offerings, best practices for database security, and hard-earned lessons in both performance and database stability. Dive into MySQL's architecture, including key facts about its storage engines Learn how server configuration works with your hardware and deployment choices Make query performance part of your software delivery process Examine enhancements to MySQL's replication and high availability Compare different MySQL offerings in managed cloud environments Explore MySQL's full stack optimization from application-side configuration to server tuning Turn traditional database management tasks into automated processes
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
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  • 38
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This book provides a comprehensive overview on best practices for troubleshooting and performance tuning in SQL Server. It reviews how to identify performance issues, how to troubleshoot the system in a holistic fashion, and how to properly prioritize tuning efforts in order to induce the best system performance possible. The book also discusses interdependencies between database components, while spotlighting ways to avoid the bottlenecks that can be triggered by those dependencies. The troubleshooting and performance tuning techniques presented in the book are compatible with any version of SQL Server. They cover both on-premise and Cloud-based SQL Server installations, including Microsoft Azure SQL Databases and Amazon SQL Server RDS. Reflecting the approaches used by many high-end SQL Server consultants, SQL Server Advanced Troubleshooting and Performance Tuning is a valuable resource that will help readers master troubleshooting and performance tuning skills and get the best performance out of SQL Server.
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 39
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (118 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Give your organization the data protection it deserves, without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators today have their work cut out for them to protect physical and virtual machines in the data center and the cloud, mobile devices in laptops and tablets, SaaS services like Microsoft 365, Google Workspace, and Salesforce, and any persistent data created by Kubernetes and container workloads. To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which one is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach. Learn the workload types that your organization should be backing up Explore the hardware, software, and services you can use to back up your systems Understand what's wrong with your current data protection system Pair your backed-up workloads to the appropriate backup system Learn the adjustments you need to make to make your backups better, without wasting money
    Note: Online resource; Title from title page (viewed February 25, 2022) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (500 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, with a focus on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. With this deeply practical book, you'll learn how to: Design an approach for solving ML and AI problems using simulations Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization (PPO) and soft actor-critic (SAO) Train ML models locally, concurrently, and in the cloud Use PyTorch, TensorFlow, the Unity ML-Agents and Perception Toolkits to enable ML tools to work with industry-standard game development tools
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce and banking Evaluate potential risks for a new vertical, market, or product Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions Get a framework of fraud methods and fraud-fighting analytics
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (60 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 006.3/12
    Keywords: Data mining ; Python (Computer program language) ; Electronic books ; local ; Electronic books
    Abstract: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You�?�¢??ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It�?�¢??s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 43
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098106034 , 1098106032
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Computer software Development ; System design ; Electronic books ; local ; Electronic books
    Abstract: In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. Youâ??ll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You'll focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing
    Note: Online resource; Title from title page (viewed August 25, 2022) , Mode of access: World Wide Web.
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  • 44
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098109127 , 1098109120
    Language: English
    Pages: 1 online resource (58 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 004.068/8
    Keywords: Configuration management ; Programming languages (Electronic computers) ; Open source software ; Electronic books ; local ; Electronic books
    Abstract: Among the many configuration management tools available, Ansible has some distinct advantages: It's minimal in nature. You don't need to install anything on your nodes. And it has an easy learning curve. With this updated third edition, you'll quickly learn how to be productive with this tool, whether you're a developer deploying code to production or a system administrator looking for a better automation solution. Authors Bas Meijer, Lorin Hochstein, and Rene Moser show you how to write playbooks (Ansible's configuration management scripts), manage remote servers, and explore the tool's real power: built-in declarative modules. You'll learn how Ansible has all the functionality you need and the simplicity you desire. Explore Ansible configuration management and deployment Learn how to apply Ansible best practices Understand how to use the new collections format Create a local development environment Generate reusable Ansible content for open source middleware Build container images, images for cloud instances, and cloud computing instances Ready to use Ansible for mission-critical work? With this new edition, you'll learn how to eliminate the guesswork and assumptions when using software engineering methods to validate code quality.
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 45
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (61 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. Learn how to use Git for real-world development scenarios Gain insight into Git's common use cases, initial tasks, and basic functions Use the system for distributed version control Learn how to manage merges, conflicts, patches, and diffs Apply advanced techniques such as rebasing, hooks, and ways to handle submodules
    Note: Online resource; Title from title page (viewed October 25, 2022) , Mode of access: World Wide Web.
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  • 46
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Testing is a critical discipline for any organization looking to deliver high-quality software. This practical book provides software developers and QA engineers with a comprehensive one-stop guide to testing skills in 10 different categories. You'll learn appropriate strategies, concepts, and practical implementation knowledge you can apply from both a development and testing perspective for web and mobile applications. Author Gayathri Mohan offers examples of more than 40 tools you can use immediately. You'll acquire the skills to conduct exploratory testing, test automation, cross-functional testing, data testing, mobile testing, and visual testing, as well as tests for performance, security, and accessibility. You'll learn to integrate them in continuous integration pipelines to gain faster feedback. Once you dive into this guide, you'll be able to tackle challenging development workflows with a focus on quality. With this book, you will: Learn how to employ various testing types to yield maximum quality in your projects Explore new testing methods by following the book's strategies and concepts Learn how to apply these tools at work by following detailed examples Improve your skills and job prospects by gaining a broad exposure to testing best practices
    Note: Online resource; Title from title page (viewed March 25, 2022) , Mode of access: World Wide Web.
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  • 47
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (37 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity
    Note: Online resource; Title from title page (viewed May 25, 2022) , Mode of access: World Wide Web.
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  • 48
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (78 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments. Youâ??ll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structure and business analysis. Learn the challenges and requirements of an ML system in production Build training data with different sampling and labeling methods Leverage best techniques to engineer features for your ML models to avoid data leakage Select, develop, debug, and evaluate ML models that are best suit for your tasks Deploy different types of ML systems for different hardware Explore major infrastructural choices and hardware designs Understand the human side of ML, including integrating ML into business, user experience, and team structure
    Note: Online resource; Title from title page (viewed June 25, 2022) , Mode of access: World Wide Web.
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  • 49
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Shell scripts are everywhere, especially those written in bash compatible syntax, and it's extremely useful to be able to understand and write them, but they can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Your future you will thank you. Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You'll learn how to read and write scripts like an expert, so that you can: Write useful, flexible, and readable bash code...with style Decode bash code such as ${MAKEMELC,,} and ${PATHNAME##*/} Save time and ensure consistency when automating tasks Amaze and impress colleagues with bash idioms Discover how bash idioms can make your code clean and concise
    Note: Online resource; Title from title page (viewed April 25, 2022) , Mode of access: World Wide Web.
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  • 50
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. Author Ben Weidig highlights different aspects of functional programming and shows you how to incorporate them in your code without going "fully functional." You'll learn how, when, and why to use FP concepts such as immutability and pure functions to write more concise, reasonable, and future-proof code. Many developers seek to expand their horizons by using OOP and FP together. It's no longer either-or; it's both. In two parts, this book includes: A Functional Approach: Get a high-level overview of functional programming, including the types already available to Java developers. Then explore different FP concepts and learn how to use them. Real-World Problems, Patterns, and Recipes: Apply what you've learned in part one to the typical real-world problems you might encounter in your daily work.
    Note: Online resource; Title from title page (viewed December 25, 2022) , Mode of access: World Wide Web.
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  • 51
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Edition: Revised Edtion
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Since their introduction in 2017, Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using HuggingFace Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf use a hands-on approach to teach you how Transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize Transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how Transformers can be used for cross-lingual transfer learning Apply Transformers in real-world scenarios where labeled data is scarce Make Transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train Transformers from scratch and learn how to scale to multiple GPUs and distributed environments
    Note: Online resource; Title from title page (viewed March 25, 2022)
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  • 52
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this distributed SQL query engine can be challenging even for the most experienced engineers. This practical book shows you how to begin Presto operations at your organization to derive insights on datasets wherever they reside. Authors Vivek Bharathan, David Simmen, and George Wang explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You’ll discover why Facebook, Uber, Twitter, and cloud providers including AWS, Google Cloud, and Alibaba use Presto and how you can quickly deploy Presto in production. You’ll learn about: Presto security and administration Syntax and connectors Top 15 key configuration parameters Clusters and tuning Troubleshooting: logs, error messages, and more Extending Presto for real-time business insight Extending PrestoDB
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 53
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (55 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: User experience (UX) strategy requires a careful blend of business strategy and UX design, and this hands-on guide offers an easy-to-apply framework for executing it. This updated edition introduces strategy tools and techniques to help you and your team craft innovative products that people want to use. You'll find new chapters on growth design and digital transformation. Whether you're an entrepreneur, UX/UI designer, product manager, or part of an intrapreneurial team, this book teaches simple-to-advanced strategies that you can use in your work right away. Along with business cases, historical context, and real-world examples throughout, you'll also gain different perspectives on the subject through cases studies and up-to-date interviews with top strategists. Define and validate target users through provisional personas and customer discovery techniques Conduct competitive research and analysis to explore a crowded marketplace and create unique value Focus your team on the primary utility and business model of your product by running structured experiments using efficient prototyping tools Learn how to conduct guerrilla user research online to get valuable insights on a small budget Devise UX funnels that increase customer engagement by mapping desired user actions to meaningful metrics
    Note: Online resource; Title from title page (viewed January 25, 2021)
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  • 54
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (92 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself. Author Dr. Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 55
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 56
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 57
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (222 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 59
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 61
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (28 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations. Each chapter builds on the lessons of the last, walking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn best practices for adopting Go as your cloud native development language for solving cloud native management and deployment issues. Learn how cloud native applications differ from other software architectures Understand how Go can solve the challenges of designing scalable, distributed services Leverage Go's lower-level features, such as channels and goroutines, to implement a reliable cloud native service Explore what "service reliability" is and what it has to do with "cloud native" Apply a variety of patterns, abstractions, and tooling to build and manage complex distributed systems
    Note: Online resource; Title from title page (viewed January 25, 2021)
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 66
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (136 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. Thanks to its approachable API and familiar syntax, Node.js is loved by engineers and used by startups and Fortune 500s alike. Backed by the world's largest package repository, its enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 67
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 68
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: React helps you create and work on an app in just a few minutes, but learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Create a single-page application in React using a rich UI Structure code that can be worked on by large teams Integrate with backend services such as REST and GraphQL Use offline caching with technologies such as Redux or MobX Secure applications with technologies such as OAuth Deal with bugs and avoid common functional and performance problems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 69
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (110 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 70
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 71
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confusing. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, along with topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively-using reactive programming, building APIs, and creating database access of all kinds-this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increases developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 72
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (122 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 73
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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  • 74
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein-creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for their daily automation tasks. This guide gets you started. Use Python without previous programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio Code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Write unit tests in Python to build solid spreadsheets
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 75
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: |o|9781492078807
    Language: English
    Pages: 1 online resource (43 pages)
    Edition: 8th edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: vi and its derivatives are perhaps the most important family of text editors in the programming community. With this updated guide, Unix and Linux users will learn text editing basics for both vi and Vim ("vi improved") before moving onto advanced editing tools for each editor. Authors Elbert Hannah and Arnold Robbins cover the latest major releases of Vim, including 7.4, 8.0, and 8.2. Whether you're a programmer or computer analyst or you work with browsers or command-line interfaces, you'll examine multiwindow editing, global search and replacement, power tools for programmers, and how to write interactive macros and scripts to extend the editor-all in the easy-to-follow style that's made this book a classic. Go beyond the basics to learn which vi commands fit your specific needs Learn advanced vi tools that shift some of the editing burden to the computer Explore Vim tools that provide major improvements over vi Examine Vim's multiwindow editing feature, a significant upgrade over vi Use Vim scripts to customize and tailor Vim to suit your needs Look at Vim in modern GUI environments with Graphical Vim (gvim)
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (30 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Almost every company that develops software today is using something they call "Agile." But there’s a widespread misunderstanding of what Agile is and how to use it. The Art of Agile Development is a comprehensive guidebook for anyone who wants to improve the agility of their software development team. It provides clear, concrete, and detailed guidance about what to do, why to do it, and when to make trade-offs. This updated edition provides no-nonsense advice on Agile planning, development, delivery, and management taken from the authors’ many years of experience applying Agile and Extreme Programming (XP).
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 79
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (44 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: This handy cookbook teaches new-to-intermediate Linux users the essential skills necessary to manage a home or small business network. All of the recipes in this book are useful for any Linux system, including local area networks that involve iOS- or Android-powered devices. You’ll learn how to install, maintain, and troubleshoot a Linux system, add and remove software, manage filesystems, run backups, and more. Carla Schroder, author of over a thousand Linux how-tos for various publications, teaches you the solid Linux foundations you need to build and run your network. How do you multiboot? Or troubleshoot software, hardware, and network issues? Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. Learn how the Linux ecosystem is structured Set up a local area network (LAN) Enable smartphones and tablets to safely connect to your LAN Manage fundamental subsystems and essential tasks Secure remote access and build a firewall/internet gateway Manage users and groups, and filesystems and partitions Rescue nonbooting systems Manage name services and the Dynamic Host Configuration Protocol (DHCP)
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This book introduces Helm, the package manager for Kubernetes. It explains how Helm fits in with the rest of the Kubernetes ecosystem, and details how the Helm client can be used to add, manage, and monitor applications running inside of Kubernetes. There are thousands of Helm charts (packages) available today, but chart development is easy. This guide walks through the process of creating charts to package simple applications, and then works through more advanced use cases. Written by creators of Helm, not only does this prove a valuable reference, but also a glimpse into the design and best practices of the most beloved package management system for Kubernetes.
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (71 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Blockchain technology continues to disrupt a wide variety of organizations, from small businesses to the Fortune 500. Today, hundreds of blockchain networks are in production, including many built with Hyperledger Fabric. This practical guide shows developers how the latest version of this blockchain infrastructure provides an ideal foundation for developing enterprise blockchain applications or solutions. Authors Matt Zand, Xun (Brian) Wu, and Mark Anthony Morris demonstrate how the versatile design of Hyperledger Fabric 2.0 satisfies a broad range of industry use cases. Developers with or without previous Hyperledger experience will discover why no other distributed ledger technology framework enjoys such wide adoption by cloud service providers such as Amazon, Microsoft, IBM, Google, and Oracle. Walk through the architecture and components of Hyperledger Fabric 2.0 Learn about the Hyperledger family, projects, and ecosystem Migrate your current Hyperledger Fabric projects to version 2 Develop blockchain applications on the Hyperledger platform with Node.js Deploy and integrate Hyperledger on Microsoft Azure, Amazon Managed Blockchain, IBM Cloud, and Oracle Cloud Develop blockchain applications with Hyperledger Aries, Avalon, Besu, and Grid Build end-to-end blockchain supply chain applications with Hyperledger
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (33 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools—useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTM, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create reusable command-line tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, clustering, regression, and classification algorithms
    Note: Online resource; Title from title page (viewed September 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (250 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Developers with the ability to operate, troubleshoot, and monitor applications in Kubernetes are in high demand today. To meet this need, the Cloud Native Computing Foundation created a certification exam to establish a developer’s credibility and value in the job market to work in a Kubernetes environment. The Certified Kubernetes Application Developer (CKAD) exam is different from the typical multiple-choice format of other certifications. Instead, the CKAD is a performance-based exam that requires deep knowledge of the tasks under immense time pressure. This study guide walks you through all the topics you need to fully prepare for the exam covering Kubernetes 1.18. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to manage an application Understand the objectives, abilities, and tips and tricks needed to pass the CKAD exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency for performing the responsibilities of a Kubernetes application developer Solve real-world Kubernetes problems in a hands-on command-line environment Navigate and solve questions during the CKAD exam
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (32 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: WebAssembly: The Definitive Guide is a thorough and accessible introduction to one of the most transformative technologies hitting our industry. What started as a way to use languages other than JavaScript in the browser has evolved into a comprehensive path toward portability, performance, increased security, and greater code reuse across an impressive collection of deployment targets. Author Brian Sletten introduces elements of this technology incrementally while building to several concrete, code-driven examples of practical, cutting-edge WebAssembly uses. Whether you work with enterprise software or embedded systems, or in entertainment, scientific computing, or startup environments, you'll learn how WebAssembly can have a positive impact on the way you develop software. Use WebAssembly designs to increase code portability across platforms Reuse more of your software assets in a wider number of deployment targets Learn how WebAssembly increases protection against prominent security attacks Use WebAssembly to deploy legacy code in web environments Increase your user base across languages and development environments Integrate JavaScript code with other languages and environments to improve performance, security, and productivity Learn how WebAssembly will affect your career as software developer
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (70 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as NumPy or a streaming dataset? How would you set up cross validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in Tensorflow model patterns and ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating pre-built models in TensorFlow Hub Make informed design choices about data ingestion, training paradigms, model saving, and inferencing Address common scenarios such as model design style, data ingestion workflow, model training, and tuning
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (93 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have already used Tableau for years. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop 2020's interactive data visualizations. With this cookbook, Tableau beginners will learn hands-on how this unique self-serve tool works, while experienced users will find this book to be an ideal reference guide on how to employ specific techniques. This cookbook includes links to online resources and community features, such as Tableau Tip Tuesday and Workout Wednesday. By the time you reach the end of this book, you'll be a competent user of Tableau Desktop 2020. You'll learn how to: Build both basic and complex data visualizations with Tableau Desktop 2020 Gain hands-on experience with Tableau's latest features, including set and parameter actions Create interactive dashboards to support business questions Improve analytical analyses that you've already created Learn data visualization skills and best practices to help you and your organization
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 87
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (46 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch code that covers every step of neural network development—from loading data to customizing training loops to model optimization and GPU/TPU acceleration. Quickly learn how to deploy your code to production using AWS, GCP, or Azure, and your ML models to mobile and edge devices. Learn basic PyTorch syntax and design patterns Create custom models and data transforms Train and deploy models using a GPU and TPU Train and test a deep learning classifier Accelerate training using optimization and distributed training Access useful PyTorch libraries and the PyTorch ecosystem
    Note: Online resource; Title from title page (viewed August 25, 2021) , Mode of access: World Wide Web.
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  • 88
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Kubernetes has become the dominant container orchestrator, but many organizations that have recently adopted this system are still struggling to run actual production workloads. In this practical book, four software engineers from VMware bring their shared experiences running Kubernetes in production and provide insight on key challenges and best practices. The brilliance of Kubernetes is how configurable and extensible the system is, from pluggable runtimes to storage integrations. For platform engineers, software developers, infosec, network engineers, storage engineers, and others, this book examines how the path to success with Kubernetes involves a variety of technology, pattern, and abstraction considerations. With this book, you will: Understand what the path to production looks like when using Kubernetes Examine where gaps exist in your current Kubernetes strategy Learn Kubernetes's essential building blocks--and their trade-offs Understand what's involved in making Kubernetes a viable location for applications Learn better ways to navigate the cloud native landscape
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 89
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (51 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Algorithms are central to understanding how to write efficient code. Everyone who works as a software developer needs to have an effective and working knowledge of algorithms but if they come from a coding bootcamp or 2 year degree they probably did not cover algorithms in enough detail. It is not enough to just know terminology such as proofs and lemmas; algorithms only become effective when put to use in real programs. This means that all working software professionals (developers, testers, maintainers) need to understand the key implementation concerns of algorithms. If a programmer changes even the slightest part of an algorithm, it could result in wildly different performance. It is necessary to understand both the individual mechanisms that appear across different algorithms as well as the way in which all parts interact together to achieve a full problem solution. Programmers need a blended-way to learn algorithms, combining online visualizations with clear explanations in written form. This book will also include a number of Katacodas from exercises and questions at the end of every chapter. This book describes a number of algorithms that creatively solve computational problems. Each algorithm has at least one innovative step that improves over ordinary code solutions to a problem. An algorithm is minimal -- there is nothing you can remove, and you do not need to add anything. Each individual part is necessary for the larger whole to work. Explaining how an algorithm works is like telling a story.
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 90
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098116279 , 1098116275 , 9781098116255 , 1098116259
    Language: English
    Pages: 1 online resource (24 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als
    DDC: 658.575
    Keywords: User-centered system design ; Human-computer interaction ; Application software Development ; Electronic books ; local ; Electronic books ; Conception participative (Conception de systèmes) ; Logiciels d'application ; Développement ; Application software ; Development ; Human-computer interaction ; User-centered system design
    Abstract: Lean UX is synonymous with modern product design and development. Designers, product managers, developers, and Scrum Masters around the world are combining human-centric design, Agile ways of working, and a strong business sense, making Lean UX the leading approach for digital product teams today. Inspired by Lean and Agile methods, this book helps you focus on the actual product experience rather than deliverables. Lean UX shows teams how to collaborate, gather feedback early and often, and focus on learning and user feedback. You'll be able to drive the design in short, iterative cycles to assess what works best for businesses and users. Lean UX guides you through this change--for the better. Facilitate the Lean UX process with your team Ensure every project starts with clear customer-centric success criteria Understand the role of the designer on a Scrum team Write and contribute design and experiment stories to the backlog Ensure design work takes place in every sprint Build product discovery into the team’s "velocity" Make sure the team is designing and building products that customers love
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 91
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (247 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: When you need answers about using C# 9.0, this tightly focused and practical book tells you exactly what you need to know without long intros or bloated samples. Succinct and easy to browse, this reference is an ideal quick source of information and can be used as a guide to get you rapidly up to speed if you know Java, C++, or an earlier C# version. All programs and code snippets are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 9.0 in a Nutshell , this pocket reference covers: C# fundamentals and features new to C# 9.0 Advanced topics like operator overloading, type constraints, nullable types, operator lifting, closures, patterns, and asynchronous functions LINQ: sequences, lazy execution, standard query operators, and query expressions Unsafe code and pointers, custom attributes, preprocessor directives, and XML documentation
    Note: Online resource; Title from title page (viewed January 20, 2021) , Mode of access: World Wide Web.
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  • 92
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (20 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In this report, we look at the data generated by the O'Reilly online learning platform to discern trends in the technology industry: trends technology leaders need to follow.
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 93
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (150 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible this software can be for your business. With this handy pocket reference, author Ryan Sleeper ( Practical Tableau and Innovative Tableau ) shows you how to translate the vast amounts of data you've collected into useful information. Tableau has done an amazing job of making valuable insights accessible to analysts and executives who would otherwise need to rely on IT. This book quickly guides you through Tableau Desktop's learning curve. You'll learn: How to shape data for use with Tableau Desktop How to create the most effective data visualizations Core concepts including discrete versus continuous Must-know technical features including filters, parameters, and sets Key syntax for creating the most useful analyses How to bring it all together with dashboards And more
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 94
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: For makers looking to use the smallest controllers or wring the highest performance out of larger controllers, the C language is still the best option. This practical book provides a solid grounding in C basics for anyone who tinkers with programming microcontrollers. You'll explore many ways C enables developers and makers to get big results out of tiny devices. Author Marc Loy shows you how to write clean, maintainable C code from scratch. This language and its C++ cousin are still widely used to write low-level code for device drivers or operating systems. By understanding C syntax and quirks, you'll gain an enduring computer language literacy that will help you pick up new languages and styles more easily. Learn C fundamentals including data types, flow control, and functions Explore memory management including how programs work on small devices Understand answers provided in online forums such as Reddit or Stack Overflow Write efficient, custom C code that's both readable and maintainable Analyze the performance of your code and weigh optimizations Evaluate third-party libraries for use in your own projects Create your own libraries to share with others
    Note: Online resource; Title from title page (viewed November 25, 2021) , Mode of access: World Wide Web.
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  • 95
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and postdoc researchers who've never learned basic programming skills. This practical guide shows how to exploit the best parts of Python for solving problems in biology while also creating documented, tested, reproducible software. Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates how to write effective Python code and how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--such as linters, formatters, type checkers, and tests--to write documented and tested programs. Create command-line Python programs that document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures (strings, lists, and sets) and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA, FASTQ, and SwissProt Find patterns of text using regular expressions Use higher-order functions in Python like filter() and map()
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 96
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (101 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Getting large-scale data-driven applications for AI and analytics into production doesn't have to be challenging. Technical managers, senior technologists, and implementers today often overlook fundamental aspects of design and data infrastructure—aspects that can make the difference between failed approaches and reliable, successful production systems. In this exclusive report, you'll learn which practices work—and which don't—at large and innovative companies that have successfully integrated AI and analytics into their workflows. Over the past two years, authors Ted Dunning and Ellen Friedman have worked with a wide range of businesses to deliver in-production systems at a large scale. You'll learn practices that have been particularly beneficial, including many that have been disregarded. Understand why AI is at its best when coupled with analytics Build successful production systems—running AI and analytics on the same infrastructure—at scale with less effort, pressure, and cost Apply aspects of a scale-efficient system, including a comprehensive data strategy, containerization, and scalability without scaling IT Focus on the increasingly popular topics of AI and edge computing Explore an example data infrastructure: HPE Ezmeral Data Fabric
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 97
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (234 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data analytics may seem daunting, but if you’re familiar with Excel, you have a head start that can help you make the leap into analytics. Advancing into Analytics will lower your learning curve. Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming. With this practical book at your side, you’ll learn how to: Explore a dataset for potential research questions to check assumptions and to build hypotheses Make compelling business recommendations using inferential statistics Load, view, and write datasets using R and Python Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python Navigate and execute code in Jupyter notebooks Identify, install, and implement the most useful open source packages for your needs And more
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 98
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk. You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Revisit and improve market risk models (VaR and expected shortfall) using machine learning techniques Develop a credit risk based on a clustering technique for risk bucketing, then apply Bayesian estimation, Markov chain, and other ML models Capture different aspects of liquidity with a Gaussian mixture model Use machine learning models for fraud detection Identify corporate risk using the stock price crash metric Explore a synthetic data generation process to employ in financial risk
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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  • 99
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Combining the demand for AI with the ubiquity of JavaScript was inevitable. With Google's TensorFlow.js framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js and other tools Use resources to convert, train, and manage machine learning data Start building and training your own training models from scratch Learn how to create your own image classification models Examine transfer learning: retraining an advanced model to perform a new task
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 100
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Where is artificial intelligence taking us? Concerns over "responsible" innovation have spawned debates since big data appeared, but apprehension has grown considerably with widespread adoption of AI. This report examines the legal liability related to AI systems, including where responsibility should lie for adverse effects, loss of privacy, and other challenges. Author Karen Kilroy discusses why society needs to create laws and ethical governance frameworks for AI. Product directors, CIOs, CEOs, and risk officers will explore how AI is interpreted in law and policymaking, including issues such as privacy, negligence, liability, ethics, and entity management. This report also contains ideas for ensuring AI doesn't escape human control--and that people who control it act in a responsible manner. You'll learn: What AI is: learn its broad range of capabilities and applications, and AI's ability to influence users The trust deficit: understand the uneasiness people have about the prospect of being replaced or devalued by AI's rapid and often stealth introduction to society AI and the legal industry: explore how AI is used in law and explore the liability of autonomous AI Innovating responsibly: examine ways that companies can learn from past mistakes and create frameworks for responsible innovation in the future
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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