Bøker utgitt av O'Reilly Media

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems

Learn robotics through magic, or enhance your magic with robotics! This book is a beginner's guide to creating robotics-infused magic, with a dedication to accessibility -- cardboard meets Arduino meets magic! All ages, backgrounds, and abilities will find clever, fun projects within these pages that challenge their creativity.

If you're an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.

Master the Shiny web frameworkand take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, 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 rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant.Get started: Discover how the major pieces of a Shiny app fit togetherPut Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniquesMaster reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph componentsApply best practices: Examine useful techniques for making your Shiny apps work well in production

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 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 best technique for your situation.You'll learn how to:Identify and mitigate common challenges when training, evaluating, and deploying ML modelsRepresent data for different ML model types, including embeddings, feature crosses, and moreChoose the right model type for specific problemsBuild a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuningDeploy scalable ML systems that you can retrain and update to reflect new dataInterpret model predictions for stakeholders and ensure models are treating users fairly

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.Build a speech recognizer, a camera that detects people, and a magic wand that responds to gesturesWork with Arduino and ultra-low-power microcontrollersLearn the essentials of ML and how to train your own modelsTrain models to understand audio, image, and accelerometer dataExplore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyMLDebug applications and provide safeguards for privacy and securityOptimize latency, energy usage, and model and binary size

How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newmans extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. Youll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture.Ideal for organizations looking to transition to microservices, rather than rebuildHelps companies determine whether to migrate, when to migrate, and where to beginAddresses communication, integration, and the migration of legacy systemsDiscusses multiple migration patterns and where they applyProvides database migration examples, along with synchronization strategiesExplores application decomposition, including several architectural refactoring patternsDelves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more

With this practical guide, Andreas M. Antonopoulos and Gavin Wood provide everything you need to know about building smart contracts and DApps on Ethereum and other virtual-machine blockchains.

Dive hands-on into the tools, techniques, and information for making your own analog synthesizer. If you're a musician or a hobbyist with experience in building electronic projects from kits or schematics, this do-it-yourself guide will walk you through the parts and schematics you need, and how to tailor them for your needs.

As programmers, weve all seen source code thats so ugly and buggy it makes our brain ache. Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "e;bad code"e; (much of it their own) to determine why theyre bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand iteven if that someone else is you.This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make your code easy to understand.Simplify naming, commenting, and formatting with tips that apply to every line of codeRefine your programs loops, logic, and variables to reduce complexity and confusionAttack problems at the function level, such as reorganizing blocks of code to do one task at a timeWrite effective test code that is thorough and conciseas well as readable"e;Being aware of how the code you create affects those who look at it later is an important part of developing software. The authors did a great job in taking you through the different aspects of this challenge, explaining the details with instructive examples."e;Michael Hunger, passionate Software Developer

In this hilarious and highly practical book, author and professional speaker Scott Berkun reveals the techniques behind what great communicators do, and shows how anyone can learn to use them well. For managers and teachers -- and anyone else who talks and expects someone to listen -- Confessions of a Public Speaker provides an insider's perspective on how to effectively present ideas to anyone. It's a unique, entertaining, and instructional romp through the embarrassments and triumphs Scott has experienced over 15 years of speaking to crowds of all sizes.With lively lessons and surprising confessions, you'll get new insights into the art of persuasion -- as well as teaching, learning, and performance -- directly from a master of the trade.Highlights include:Berkun's hard-won and simple philosophy, culled from years of lectures, teaching courses, and hours of appearances on NPR, MSNBC, and CNBCPractical advice, including how to work a tough room, the science of not boring people, how to survive the attack of the butterflies, and what to do when things go wrongThe inside scoop on who earns $30,000 for a one-hour lecture and whyThe worst -- and funniest -- disaster stories you've ever heard (plus countermoves you can use)Filled with humorous and illuminating stories of thrilling performances and real-life disasters, Confessions of a Public Speaker is inspirational, devastatingly honest, and a blast to read.

Generative modeling is one of the hottest topics in AI. Its now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, youll understand how to make your models learn more efficiently and become more creative.Discover how variational autoencoders can change facial expressions in photosBuild practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generationCreate recurrent generative models for text generation and learn how to improve the models using attentionUnderstand how generative models can help agents to accomplish tasks within a reinforcement learning settingExplore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Are you an entrepreneur about to create a new web application? If you want to maximize your chances of building something customers want, this book demonstrates ways to apply and test techniques for customer development, Lean Startup, and bootstrapping.

Build interactive, data-driven websites with the potent combination of open-source technologies and web standards, even if you have only basic HTML knowledge. With this popular hands-on guide, youll tackle dynamic web programming with the help of todays core technologies: PHP, MySQL, JavaScript, jQuery, CSS, and HTML5.Explore each technology separately, learn how to use them together, and pick up valuable web programming practices along the way. At the end of the book, youll put everything together to build a fully functional social networking site, using XAMPP or any development stack you choose.Learn PHP in-depth, along with the basics of object-oriented programmingExplore MySQL, from database structure to complex queriesUse the MySQLi Extension, PHPs improved MySQL interfaceCreate dynamic PHP web pages that tailor themselves to the userManage cookies and sessions, and maintain a high level of securityMaster the JavaScript languageand enhance it with jQueryUse Ajax calls for background browser/server communicationAcquire CSS2 and CSS3 skills for professionally styling your web pagesImplement all of the new HTML5 features, including geolocation, audio, video, and the canvas

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 for automating 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 daily automation tasks. This guide gets you started.Use Python without extensive programming knowledgeGet started with modern tools, including Jupyter notebooks and Visual Studio codeUse pandas to acquire, clean, and analyze data and replace typical Excel calculationsAutomate tedious tasks like consolidation of Excel workbooks and production of Excel reportsUse xlwings to build interactive Excel tools that use Python as a calculation engineConnect Excel to databases and CSV files and fetch data from the internet using Python codeUse Python as a single tool to replace VBA, Power Query, and Power Pivot

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming 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 batch versus streaming data ingestion and build versus buy. 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 worksHow data is moved and processed on modern data infrastructure, including cloud platformsCommon tools and products used by data engineers to build pipelinesHow pipelines support analytics and reporting needsConsiderations for pipeline maintenance, testing, and alerting

Improve your understanding of Scrum through the proven experience and collected wisdom of experts around the world. Based on real-life experiences, the 97 essays in this unique book provide a wealth of knowledge and expertise from established practitioners who have dealt with specific problems and challenges with Scrum.Youll find out more about the rules and roles of this framework, as well as tactics, strategies, specific patterns to use with Scrum, and stories from the trenches. Youll also gain insights on how to apply, tune, and tweak Scrum for your work. This guide is an ideal resource for people new to Scrum and those who want to assess and improve their understanding of this framework."e;Scrum Is Simple. Just Use It As Is.,"e; Ken Schwaber"e;The 'Standing Meeting,'"e; Bob WarfieldSpecialization Is for Insects, James O. Coplien"e;Scrum Events Are Rituals to Ensure Good Harvest,"e; Jasper LamersServant Leadership Starts from Within, Bob Galen"e;Agile Is More than Sprinting,"e; James W. Grenning

Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering.How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worlds leading practitioners construct and maintain software. This book covers Googles unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.Youll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code:How time affects the sustainability of software and how to make your code resilient over timeHow scale affects the viability of software practices within an engineering organizationWhat trade-offs a typical engineer needs to make when evaluating design and development decisions

Using stories from his time at Netscape, Apple, and Slack, Michael Lopp presents a series of small but compelling practices to help you build leadership skills. You'll learn how to create teams that are highly productive, highly respected, and highly trusted.

If you're one of the many developers uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 75 code-rich recipes, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques, using libraries and language features in .NET and C#.

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.Learn how to deploy deep learning models to productionExplore PyTorch use cases in companies other than FacebookLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on Wikipedia

When you depend on users to perform specific actionslike buying tickets, playing a game, or riding public transitwell-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, youll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy.UX content strategist Torrey Podmajersky provides strategies for converting, engaging, supporting, and re-attracting users. Youll use frameworks and patterns for content, methods to measure the contents effectiveness, and processes to create the collaboration necessary for success. Youll also structure your voice throughout so that the brand is easily recognizable to its audience.Learn how UX content works with the software development lifecycleUse a framework to align the UX content with product principlesExplore content-first design to root UX text in conversationLearn how UX text patterns work with different voicesProduce text thats purposeful, concise, conversational, and clear

Quantum computers are poised to kick-start a new computing revolutionand you can join in right away. If youre in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmers guide to understanding quantum computing. Rather than labor through math and theory, youll work directly with examples that demonstrate this technologys unique capabilities.Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. Youll understand what quantum computers can do and learn how to identify the types of problems they can solve.This book includes three multichapter sections:Programming for a QPUExplore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation.QPU PrimitivesLearn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation.QPU ApplicationsInvestigate how QPU primitives are used to build existing applications, including quantum search techniques and Shors factoring algorithm.

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover.Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learningSet up and manage machine learning projects end-to-endBuild an anomaly detection system to catch credit card fraudClusters users into distinct and homogeneous groupsPerform semisupervised learningDevelop movie recommender systems using restricted Boltzmann machinesGenerate synthetic images using generative adversarial networks

Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. Thats why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. This practical book shows you how one such type layer, TypeScript, is unique among them: it makes programming fun with its powerful static type system.If youre a programmer with intermediate JavaScript experience, author Boris Cherny will teach you how to master the TypeScript language. Youll understand how TypeScript can help you eliminate bugs in your code and enable you to scale your code across more engineers than you could before.In this book, youll:Start with the basics: Learn about TypeScripts different types and type operators, including what theyre for and how theyre usedExplore advanced topics: Understand TypeScripts sophisticated type system, including how to safely handle errors and build asynchronous programsDive in hands-on: Use TypeScript with your favorite frontend and backend frameworks, migrate your existing JavaScript project to TypeScript, and run your TypeScript application in production

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand lifes complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youre ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and toolsProcess bioinformatics data with powerful Unix pipelines and data toolsLearn how to use exploratory data analysis techniques in the R languageUse efficient methods to work with genomic range data and range operationsWork with common genomics data file formats like FASTA, FASTQ, SAM, and BAMManage your bioinformatics project with the Git version control systemTackle tedious data processing tasks with with Bash scripts and Makefiles

Tired of reading HTML books that only make sense after you're an expert? Then it's about time you picked up Head First HTML and really learned HTML. You want to learn HTML so you can finally create those web pages you've always wanted, so you can communicate more effectively with friends, family, fans, and fanatic customers. You also want to do it right so you can actually maintain and expand your web pages over time so they work in all browsers and mobile devices. Oh, and if you've never heard of CSS, that's okay--we won't tell anyone you're still partying like it's 1999--but if you're going to create web pages in the 21st century then you'll want to know and understand CSS.Learn the real secrets of creating web pages, and why everything your boss told you about HTML tables is probably wrong (and what to do instead). Most importantly, hold your own with your co-worker (and impress cocktail party guests) when he casually mentions how his HTML is now strict, and his CSS is in an external style sheet.With Head First HTML, you'll avoid the embarrassment of thinking web-safe colors still matter, and the foolishness of slipping a font tag into your pages. Best of all, you'll learn HTML and CSS in a way that won't put you to sleep. If you've read a Head First book, you know what to expect: a visually-rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, this book will load HTML and CSS into your brain in a way that sticks.So what are you waiting for? Leave those other dusty books behind and come join us in Webville. Your tour is about to begin.

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutzs popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. Its an ideal way to begin, whether youre new to programming or a professional developer versed in other languages.Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3 the latest releases in the 3.X and 2.X linesplus all other releases in common use today. Youll also learn some advanced language features that recently have become more common in Python code.Explore Pythons major built-in object types such as numbers, lists, and dictionariesCreate and process objects with Python statements, and learn Pythons general syntax modelUse functions to avoid code redundancy and package code for reuseOrganize statements, functions, and other tools into larger components with modulesDive into classes: Pythons object-oriented programming tool for structuring codeWrite large programs with Pythons exception-handling model and development toolsLearn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

Pick up where certification exams leave off. With this practical, in-depth guide to the entire network infrastructure, youll learn how to deal with real Cisco networks, rather than the hypothetical situations presented on exams like the CCNA. Network Warrior takes you step by step through the world of routers, switches, firewalls, and other technologies based on the author's extensive field experience. You'll find new content for MPLS, IPv6, VoIP, and wireless in this completely revised second edition, along with examples of Cisco Nexus 5000 and 7000 switches throughout.Topics include:An in-depth view of routers and routingSwitching, using Cisco Catalyst and Nexus switches as examplesSOHO VoIP and SOHO wireless access point design and configurationIntroduction to IPv6 with configuration examplesTelecom technologies in the data-networking world, including T1, DS3, frame relay, and MPLSSecurity, firewall theory, and configuration, as well as ACL and authenticationQuality of Service (QoS), with an emphasis on low-latency queuing (LLQ)IP address allocation, Network Time Protocol (NTP), and device failures