Bücher veröffentlicht von O'Reilly Media

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.Learn key concepts for data science, machine learning, and deep learningExplore tools like Video AI and AutoML TablesBuild a simple language processor using deep learning systemsPerform image recognition using CNNs, transfer learning, and GANsUse Google's Dialogflow to create chatbots and conversational AIAnalyze video with automatic video indexing, face detection, and TensorFlow HubBuild a complete working AI agent application

Problem solving with JavaScript is a lot trickier now that its use has expanded considerably in size, scope, and complexity. This cookbook has your back, with recipes for common tasks across the JavaScript world, whether youre working in the browser, the server, or a mobile environment. Each recipe includes reusable code and practical advice for tackling JavaScript objects, Node, Ajax, JSON, data persistence, graphical and media applications, complex frameworks, modular JavaScript, APIs, and many related technologies.Aimed at people who have some experience with JavaScript, the first part covers traditional uses of JavaScript, along with new ideas and improved functionality. The second part dives into the server, mobile development, and a plethora of leading-edge tools. Youll save timeand learn more about JavaScript in the process.Topics include:Classic JavaScript:Arrays, functions, and the JavaScript ObjectAccessing the user interfaceTesting and accessibilityCreating and using JavaScript librariesClient-server communication with AjaxRich, interactive web effectsJavaScript, All Blown Up:New ECMAScript standard objectsUsing Node on the serverModularizing and managing JavaScriptComplex JavaScript frameworksAdvanced client-server communicationsVisualizations and client-server graphicsMobile application development

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.In five parts, this guide helps you:Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practiceApply neural networks and reinforcement learning to discover statistical inefficiencies in financial marketsIdentify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategiesUnderstand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important.Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demandwithout affecting the quality your customers expect. Architects, managers, and directors in engineering and operations organizations will learn how to build applications at scale that run more smoothly and reliably to meet the needs of customers.Learn how scaling affects the availability of your services, why that matters, and how to improve itDive into a modern service-based application architecture that ensures high availability and reduces the effects of service failuresExplore the Single Team Owned Service Architecture paradigm (STOSA)a model for scaling your development organization in tandem with your applicationUnderstand, measure, and mitigate risk in your systemsUse the cloud to build highly scalable applications

Coding and testing are generally considered separate areas of expertise. In this practical book, Java expert Scott Oaks takes the approach that anyone who works with Java should be adept at understanding how code behaves in the Java Virtual Machineincluding the tunings likely to help performance. This updated second edition helps you gain in-depth knowledge of Java application performance using both the JVM and the Java platform.Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way the Java 8 and 11 LTS releases perform. While the emphasis is on production-supported releases and features, this book also features previews of exciting new technologies such as ahead-of-time compilation and experimental garbage collections.Understand how various Java platforms and compilers affect performanceLearn how Java garbage collection worksApply four principles to obtain best results from performance testingUse the JDK and other tools to learn how a Java application is performingMinimize the garbage collectors impact through tuning and programming practicesTackle performance issues in Java APIsImprove Java-driven database application performance

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersincluding experienced practitioners and novices alikewill learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment

As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You cant remove the complexity, but through Chaos Engineering you can discover vulnerabilities and prevent outages before they impact your customers. This practical guide shows engineers how to navigate complex systems while optimizing to meet business goals.Two of the fields prominent figures, Casey Rosenthal and Nora Jones, pioneered the discipline while working together at Netflix. In this book, they expound on the what, how, and why of Chaos Engineering while facilitating a conversation from practitioners across industries. Many chapters are written by contributing authors to widen the perspective across verticals within (and beyond) the software industry.Learn how Chaos Engineering enables your organization to navigate complexityExplore a methodology to avoid failures within your application, network, and infrastructureMove from theory to practice through real-world stories from industry experts at Google, Microsoft, Slack, and LinkedIn, among othersEstablish a framework for thinking about complexity within software systemsDesign a Chaos Engineering program around game days and move toward highly targeted, automated experimentsLearn how to design continuous collaborative chaos experiments

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. Youll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, youll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental modelsaccompanied by working code examples and mathematical explanationsfor understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework

Ready to dive into smart contract development for the blockchain? With this practical guide, experienced engineers and beginners alike will quickly learn the entire process for building smart contracts for Ethereumthe open source blockchain-based distributed computing platform. Youllget up to speed with the fundamentals and quickly move into builder mode.Kevin Solorio, Randall Kanna, and Dave Hoover show you how to create and test your own smart contract, create a frontend for users to interact with, and more. Its the perfect resource for people who want to break into the smart contract field but dont know where to start.In four parts, this book helps you:Explore smart contract fundamentals, including the Ethereum protocol, Solidity programming language, and the Ethereum Virtual MachineDive into smart contract development using Solidity and gain experience with Truffle framework tools for deploying and testing your contractsUse Web3 to connect your smart contracts to an applicationso users can easily interact with the blockchainExamine smart contract security along with free online resources for smart contract security auditing

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.Youll get the guidance you need to confidently:Find and wrangle time series dataUndertake exploratory time series data analysisStore temporal dataSimulate time series dataGenerate and select features for a time seriesMeasure errorForecast and classify time series with machine or deep learningEvaluate accuracy and performance

Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with todays most useful DevOps tools, including Docker, Kubernetes, and Terraform.Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, youll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "e;get stuff done"e; in Python? This is your guide.Python foundations, including a brief introduction to the languageHow to automate text, write command-line tools, and automate the filesystemLinux utilities, package management, build systems, monitoring and instrumentation, and automated testingCloud computing, infrastructure as code, Kubernetes, and serverlessMachine learning operations and data engineering from a DevOps perspectiveBuilding, deploying, and operationalizing a machine learning project

This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.

This 25th anniversary edition of Steven Levy's classic book traces the exploits of the computer revolution's original hackers -- those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers.Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "e;the hacker ethic,"e; that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.

Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you'll learn the framework from the ground up by developing, step-by-step, a real-world project created by author Miguel Grinberg.

This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly-without having to comb through all the details of R's graphing systems.

Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether youre designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUIs performance and improve upon it.Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great.Understand key VUI design concepts, including command-and-control and conversational systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems

If you want to push your Java skills to the next level, this book provides expert advice from Java leaders and practitioners. Youll be encouraged to look at problems in new ways, take broader responsibility for your work, stretch yourself by learning new techniques, and become as good at the entire craft of development as you possibly can.Edited by Kevlin Henney and Trisha Gee, 97 Things Every Java Programmer Should Know reflects lifetimes of experience writing Java software and living with the process of software development. Great programmers share their collected wisdom to help you rethink Java practices, whether working with legacy code or incorporating changes since Java 8.A few of the 97 things you should know:"e;Behavior Is Easy, State Is Hard"e;Edson YanagaLearn Java Idioms and Cache in Your BrainJeanne BoyarskyJava Programming from a JVM Performance PerspectiveMonica Beckwith"e;Garbage Collection Is Your Friend"e;Holly K CumminsJava's Unspeakable TypesBen Evans"e;The Rebirth of Java"e;Sander MakDo You Know What Time It Is?Christin Gorman

Now may be the perfect time to enter the wearables industry. With the range of products that have appeared in recent years, you can determine which ideas resonate with users and which dont before leaping into the market. In this practical guide, author Scott Sullivan examines the current wearables ecosystem and then demonstrates the impact that service design in particular will have on these types of devices going forward.Youll learn about the history and influence of activity trackers, smartwatches, wearable cameras, the controversial Google Glass experiment, and other devices that have come out of the recent Wild West period. This book also dives into many other aspects of wearables design, including tools for creating new products and methodologies for measuring their usefulness.Youll explore:Emerging types of wearable technologiesHow to design services around wearable devicesKey concepts that govern service designPrototyping processes and tools such as Arduino and ProcessingThe importance of storytelling for introducing new wearablesHow wearables will change our relationship with computers

Put your web app design skills to work by learning how to create powerful and portable Chrome Apps. With this practical book, youll learn how to build Googles unique apps to behave just like native apps so they can interact with hardware devices, access external files, and send notifications.Author Marc Rochkind takes you through a hands-on, objective tour of Chrome Apps, which run on any platform that supports the Chrome browserincluding OS X, Windows, Linux, as well as Android and iOS. If you know how to work with HTML, CSS, JavaScript, and the DOM, youre ready to get started.Learn how to build, run, and debug Chrome Apps step-by-stepUse Chrome Apps to access local files, sync files, and external filesTake advantage of key-value-pair APIs, including sync storage and IndexedDBUse WebSockets, Google Cloud Messaging, and other networking methodsDisplay graphics and images with Canvas, SVG, and the Media Galleries APIUse alarms, context menus, location, the camera, Bluetooth, USB, and other APIsPublish apps to the Chrome Web Store with the Chrome Dev Editor

If youre looking for a short, sweet, and simple introduction (or reintroduction) to Hibernate, this is the book you want. Through clear real-world examples, youll learn Hibernate and object-relational mapping from the ground up, starting with the basics. Then youll dive into the frameworks moving parts to understand how they work in action.Storing Java objects in relational databases is usually a challenging and complex task for any Java developer, experienced or not. This book, like others in the Just series, delivers a concise, example-driven tutorial for Java beginners. Youll gain enough knowledge and confidence to start working on real-world projects with Hibernate.Compare how JDBC and Hibernate work with object persistenceLearn how annotations are used to create Hibernate applicationsUnderstand how to persist and retrieve Java data structuresFocus on the fundamentals of associations and their mappingsDelve into advanced concepts such as caching, inheritance, and typesWalk through the Hibernate Query Language API, with examplesDevelop Java Persistence API applications, using Hibernate as the providerWork hands-on with code snippets to understand the technology

If you want to enrich your game's experience with physics-based realism, the expanded edition of this classic book details physics principles applicable to game development. You'll learn about collisions, explosions, sound, projectiles, and other effects used in games on Wii, PlayStation, Xbox, smartphones, and tablets.

Adopted as the undisputed Perl bible soon after the first edition appeared in 1991, Programming Perl is still the go-to guide for this highly practical language. Perl began life as a super-fueled text processing utility, but quickly evolved into a general purpose programming language thats helped hundreds of thousands of programmers, system administrators, and enthusiasts, like you, get your job done.In this much-anticipated update to "e;the Camel,"e; three renowned Perl authors cover the language up to its current version, Perl 5.14, with a preview of features in the upcoming 5.16. In a world where Unicode is increasingly essential for text processing, Perl offers the best and least painful support of any major language, smoothly integrating Unicode everywhereincluding in Perls most popular feature: regular expressions.Important features covered by this update include:New keywords and syntaxI/O layers and encodingsNew backslash escapesUnicode 6.0Unicode grapheme clusters and propertiesNamed captures in regexesRecursive and grammatical patternsExpanded coverage of CPANCurrent best practices

Written by the authors of the bestselling Llama book, Learning Perl, and updated for Perl 5.14, this book offers a gentle but thorough introduction to intermediate programming in Perl.

What's the best approach for developing an application with JavaScript? This book helps you answer that question with numerous JavaScript coding patterns and best practices. If you're an experienced developer looking to solve problems related to objects, functions, inheritance, and other language-specific categories, the abstractions and code templates in this guide are idealwhether you're using JavaScript to write a client-side, server-side, or desktop application.Written by JavaScript expert Stoyan StefanovSenior Yahoo! Technical and architect of YSlow 2.0, the web page performance optimization toolJavaScript Patterns includes practical advice for implementing each pattern discussed, along with several hands-on examples. You'll also learn about anti-patterns: common programming approaches that cause more problems than they solve.Explore useful habits for writing high-quality JavaScript code, such as avoiding globals, using single var declarations, and moreLearn why literal notation patterns are simpler alternatives to constructor functionsDiscover different ways to define a function in JavaScriptCreate objects that go beyond the basic patterns of using object literals and constructor functionsLearn the options available for code reuse and inheritance in JavaScriptStudy sample JavaScript approaches to common design patterns such as Singleton, Factory, Decorator, and moreExamine patterns that apply specifically to the client-side browser environment

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Pythons many roles in practical, real-world programming.You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose.Topics include:Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basicsSystem programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and moreGUI programming: Learn to use Pythons tkinter widget libraryInternet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniquesMore ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python

Moving to Excel 2007 is not a routine upgrade. Microsoft's radical redesign of the application's user interface has led to confusion among many who people who have relied on Excel for years. Our new edition of the Excel 2007 Pocket Guide has been written from the ground up to help newcomers and longtime users alike find their way around without getting lost.With this book in hand, you'll be able to find your favorite Excel tools quickly. It's packed with information to guide beginners through the basics of creating spreadsheets and entering data, while providing advanced users with information on formulas, pivot tables, and more. Inside, you'll find:A visual guide to the new "e;Ribbon"e; interface that helps users find familiar toolsA section designed to give beginners enough information to dive right in and start creating rich Excel workbooks immediatelyQuick answers about how to perform specific tasks in Excel, such as working with files, editing data, formatting, summarizing and displaying dataConvenient techniques for connecting data across worksheets and projectsHelp for moving from the basics of spreadsheet construction to more advanced featuresThis edition also includes an extensive reference on commonly used formulas, which reveal at a glance the many possibilities Excel 2007 provides for easy calculation. Tasks in the book are presented as answers to "e;How do I..."e; questions -- such as "e;How do I change the formatting of part of a cell's contents?"e; -- followed by concise instructions for performing the task. You'll learn ways to customize Excel to fit your needs, and how to share workbooks and collaborate with others. And much more.Don't let Excel 2007 baffle you. Pick up this convenient pocket guide and learn to navigate this redesigned application with ease.

Regular expressions are an extremely powerful tool for manipulating text and data. They are standard features in a range of languages and popular tools. Showing how the regular expression engine works, this title includes a comparison of features among different versions of many languages and tools. It also has a chapter devoted to PHP.