O'reilly media jun 2021 (15 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - This portable reference to PowerShell summarizes the command shell and scripting language and provides a concise guide to the many tasks that make PowerShell so useful. If you're a busy administrator and don't have time to plow through huge books or in-depth online searches, this is the ideal on-the-job tool. Written by PowerShell team member Lee Holmes and excerpted from his PowerShell Cookbook, this edition offers up-to-date coverage of Windows PowerShell 5.1 and open source PowerShell Core up to 7 and beyond. Beginning with a guided tour of PowerShell, this handy guide covers: - PowerShell language and environment - Regular expression reference - XPath quick reference - .NET string formatting - .NET DateTime formatting - Selected .NET classes and their uses - WMI reference - Selected COM objects and their uses - Standard PowerShell verbs.…

Taschenbuch. Zustand: Neu. Neuware - 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, Google Cloud, or Azure and deploy 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.…

Taschenbuch. Zustand: Neu. Neuware - Tap into the wisdom of experts to learn what every UX designer needs to know. With 97 short and extremely useful tips, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your skills through sound advice.Working in UX involves much more than just creating user interfaces. UX teams struggle with understanding what's important, which practices they should know deeply, or what approaches aren't helpful at all. With these 97 concise tips, editor Tom Greever presents a wealth of advice and knowledge from experts who have practiced UX throughout their careers.- 'Make a Commercial First'--Steve Turbek- 'Think Twice Before You Specialize'--Ingrid Cruz- 'You Have the Power to Design the Future'--Gail Giacobbe- 'Design the Presentation That Gets the Job Done'--Rakesh Patwari- 'Bring Themes, Not Interview Questions to Exploratory Research'--Shanti Kanhai- 'Not Everything That Counts Can Be Counted'--Drew Lepp- 'Design with Diversity in Mind'--Caleb Williams- 'There Is No Standard Design Process'--Luke Chen.…

Taschenbuch. Zustand: Neu. Neuware - If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start. - Use your programming skills to learn and understand Bayesian statistics - Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing - Get started with simple examples, using coins, dice, and a bowl of cookies - Learn computational methods for solving real-world problems. …

Taschenbuch. Zustand: Neu. Neuware - Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google 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 - Use resources to convert, train, and manage machine learning data - Build and train your own training models from scratch.…

Taschenbuch. Zustand: Neu. Neuware - With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. - Learn the fundamentals of cloud native applications - Explore key cloud native communication, connectivity, and composition patterns - Learn decentralized data management techniques - Use event-driven architecture to build distributed and scalable cloud native applications - Explore the most commonly used patterns for API management and consumption - Examine some of the tools and technologies you'll need for building cloud native systems.…

Taschenbuch. Zustand: Neu. Neuware - 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 have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and Salesforce; and 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 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 that will make your backups better, without wasting money.…

Taschenbuch. Zustand: Neu. Neuware -Master the Shiny web frameworkand take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more.Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence.- Getting started: Begin with a tutorial-style exploration of the basics- Shiny in action: Explore Shiny functionality with a focus on code samples and example apps- Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability- Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny appsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.…

Taschenbuch. Zustand: Neu. Neuware -Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads. With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust. Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency. You'll learn: - Rust's fundamental data types and the core concepts of ownership and borrowing - How to write flexible, efficient code with traits and generics - How to write fast, multithreaded code without data races - Rust's key power tools: closures, iterators, and asynchronous programming - > This revised, updated edition covers the Rust 2021 Edition.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.…

Taschenbuch. Zustand: Neu. Neuware - Get up to speed on Scala--the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system. Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away. You'll learn why Scala is ideal for building today's highly scalable, data-centric applications, while maximizing developer productivity. While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still. This third edition covers the new features in Scala 3.0 with updates throughout the book. Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus. - Program faster with Scala's succinct and flexible syntax - Dive into basic and advanced functional programming techniques - Build killer big data and distributed apps using Scala's functional combinators and tools like Spark and Akka - Create concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more.…

Taschenbuch. Zustand: Neu. Neuware - Master the Shiny web frameworkand take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more.Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence.- Getting started: Begin with a tutorial-style exploration of the basics- Shiny in action: Explore Shiny functionality with a focus on code samples and example apps- Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability- Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny apps.…

Taschenbuch. Zustand: Neu. Neuware - NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organizations today still struggle with building and adopting NLP applications. This hands-on guide helps you learn the process quickly.If you have a basic to intermediate understanding of machine learning and programming experience with Python, you'll learn how to build and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai walk you through the process without bogging you down in theory.- Understand how state-of-the-art NLP models work- Learn the tools of the trade, including frameworks popular today- Perform NLP tasks such as text classification, semantic search, and reading comprehension- Solve problems using new models like transformers and techniques such as transfer learning- Build NLP models from scratch with performance comparable or superior to out-of-the-box systems- Deploy your models to production and maintain their performance- Implement a suite of NLP algorithms using Python and PyTorch.…

Taschenbuch. Zustand: Neu. Neuware - Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads. With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust. Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency. You'll learn: - Rust's fundamental data types and the core concepts of ownership and borrowing - How to write flexible, efficient code with traits and generics - How to write fast, multithreaded code without data races - Rust's key power tools: closures, iterators, and asynchronous programming - > This revised, updated edition covers the Rust 2021 Edition.…

Taschenbuch. Zustand: Neu. Neuware -Master the Shiny web frameworkand take your R skills to a whole new level. Shiny helps you create fully interactive web apps for data analyses by letting you move beyond static reports, tables, and graphs. Your users will be able to jump between datasets, explore different subsets, run models with parameter values of their choosing, customize visualizations, and much more.Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create complex Shiny apps. Shiny is easy to learn, but even intermediate users often wonder what they've missed. This in-depth introduction provides a learning path that you can follow with confidence.- Getting started: Begin with a tutorial-style exploration of the basics- Shiny in action: Explore Shiny functionality with a focus on code samples and example apps- Best practices: Learn techniques for managing complexity and ensuring correctness, and explore ways to measure and improve your Shiny app's scalability- Mastering reactivity: Learn the underlying theory of reactivity to improve your ability to reason about complex Shiny apps Englisch.…

Taschenbuch. Zustand: Neu. Neuware -Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads. With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust. Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency. You'll learn: - Rust's fundamental data types and the core concepts of ownership and borrowing - How to write flexible, efficient code with traits and generics - How to write fast, multithreaded code without data races - Rust's key power tools: closures, iterators, and asynchronous programming - > This revised, updated edition covers the Rust 2021 Edition. Englisch.…