Bøker utgitt av Manning Publications

Bayesian Optimization in Action teaches you how to build Bayesian Optimisation systems from the ground up. This book transforms state-of-the-art research into usable techniques that you can easily put into practice -- all fully illustrated with useful code samples. You will hone your understanding of Bayesian Optimisation through engaging examples -- from forecasting the weather to finding the optimal amount of sugar for coffee and even deciding if someone is psychic! Along the way, you will explore scenarios with multiple objectives, when each decision has its own cost, and when feedback is in the form of pairwise comparisons. With this collection of techniques, you will be ready to find the optimal solution for everything -- from transport and logistics to cancer treatments. About the reader For machine learning practitioners who are confident in math and statistics.

Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetise it yourself. The data you generate every day makes big companies rich. In Data for All, bestselling author John K Thompson outlines how this one-sided data economy is about to come to a dramatic end. Thompson pulls back the curtain to reveal the true nature of data ownership and explains how you can turn your data from an exploited resource into a financial asset. More about the book Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. It lays out how businesses collect, use, and exploit data, providing a clear explanation of how the legislation overturns the existing system. By following this direct and accessible guide, you will completely change the way you handle your data. In this fascinating book, you will learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private. You wil soon stop being a passive source of free data, and start earning a "data dividend"--hundreds or thousands of dollars paid out simply for your daily online activities. About the reader This text is for anyone curious or concerned about how their data is used, and what they can do to reclaim ownership. No technical knowledge is required. About the author John K. Thompson is an international technology executive with over 35 years of experience in the fields of data, advanced analytics, and Artificial Intelligence (AI). He was an executive partner at Gartner, and he was responsible for the advanced analytics business unit of the Dell Software Group. John is the author of Analytics Teams: Harnessing Analytics and Artificial Intelligencefor Business Improvement and co-author of Analytics: How to win with Intelligence. He holds a bachelor of science degree in Computer Science from Ferris State University and an MBA in Marketing from DePaul University.

The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, youll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. Youll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth.

Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. Kubernetes in Action, Second Edition is a fully-updated and comprehensive guide to developing and running applications in a Kubernetes environment. It lays out a complete introduction to container technologies and containerized applications along with practical tips for efficient deployment and operation. This revised edition of the bestselling original contains new coverage of the Kubernetes architecture, including the Kubernetes API, and a deep dive into managing a Kubernetes cluster in production.

Think Like a CTO is full of step-by-step guidance for succeeding as a Chief Technology Officer. Author Alan Williamson has mentored numerous CTOs who have been catapulted into the big leagues by private equity investment, acquisition, and rapid growth. In this book, he shares his hard-won lessons on how to survive and thrive in the fast-paced role. Inside you'll find practical frameworks for solving common challenges, including conducting bias-free interviewing, setting up meaningful performance reviews, and establishing teams built around a clear charter of responsibilities. Each chapter explores real scenarios CTOs face and includes the invaluable advice of veteran CTOs, recruitment specialists, and other industry experts. Harness the advice and tools in this book, and you'll soon be making data-driven decisions and putting your own brand of leadership on your CTO role.

Great search is all about delivering the right results. Today's search engines are expected to be smart and understand the nuances of natural language queries, as well as each user's preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search. It teaches you how to build search engines that automatically understand the intention of a query in order to deliver significantly better results. Author Trey Grainger is an expert on leading techniques for crowdsourced relevancy and semantic search and has helped develop numerous algorithms which have transformed search. Working through code in interactive notebooks, you will deploy intelligent search systems that deliver real-time personalisation and contextual understanding of each user, domain, and query through a self-learning search platform that can tune its own results automatically. About the reader For software developers or data scientists familiar with the basics of search engine development.

Guide machine learning projects with the techniques in this unique project management guide. Managing Machine Learning Projects is a comprehensive guide to delivering successful machine learning projects from idea to production. The book is laid out as a series of fictionalised sprints that take you from pre-project requirements and proposal development all the way to deployment. You will discover battle-tested techniques for ensuring you have the appropriate data infrastructure, coordinating ML experiments, and measuring model performance. With this book as your guide, you will know how to bring a project to a successful conclusion, and how to use your lessons learned for future projects. About the reader This book is for anyone interested in better management of machine learning projects. No technical skills are required!

Tiny CSS Projects develops your CSS skills through 12 delightfully creative mini-projects. Each project sets you up with a premade HTML skeleton to use as a foundation for your work. You will build up your portfolio of common and useful web designs including a loading screen, eCommerce checkout, and animated social media buttons. As you tackle each tiny project, you will learn about animation, transitions, layout, styling forms, and even typography. All the skills you master are easy to transfer to full-size applications! About the reader For readers who know the basics of HTML and frontend development. No previous experience of CSS is required.

Unlock Go’s unique perspective on program design, and start writing simple, maintainable, and testable Go code.In Go by Example you will learn how to: Write and test idiomatic and easy-to-maintain Go programs from scratch Design and structure maintainable and testable command-line applications, concurrent programs, and web servers Test Go according to best practices Spot common Go anti-patterns Understand what makes Go different from other languages Go by Example is a practical guide to writing high-quality code that’s easy to test and maintain. The book is full of best practices to adopt and anti-patterns to dodge. It explores what makes Go so dramatically different from other languages and how you can still leverage your existing skills into writing excellent Go code. Aimed at Go beginners looking to graduate to serious Go development, this book will help you write and test command line applications, web API clients and servers, concurrent programs, and more. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Writing well-designed Go code takes more than just porting across skills you’ve learned in other languages. You’ll need to understand Go’s unique way of working to ensure your programs don’t spiral out of control. This book is the perfect primer on Go’s hidden mechanics that will help you code more effective Go. About the book Go by Example teaches you to write well-designed and maintainable code in Go. By concentrating on Go’s unique characteristics, you’ll learn how to stop fighting against the language and start delivering idiomatic code that’s simple, adaptable, and testable. You’ll learn how to deliver applications and how to extend code with robust testing. Easy-to-understand visualizations and step-by-step examples help explain Go’s complexities without oversimplification. About the reader For experienced programmers who are new to Go programming. About the author Inanc Gumus has over 25 years of experience in software engineering. For the last eight years, he has been working as a consultant for Go programming, focusing on best practices and testing. Inanc is also an occasional open-source contributor to the official Go test package and teaches Go to more than 100,000 developers through his online courses, his blog, his YouTube channel, and his GitHub repository with over 20,000 stars.

About the book In Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's unique properties. Then, dive straight into building real-world models, including GNNs that can generate node embeddings from a social network, recommend eCommerce products, and draw insights from social sites. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba's GraphScope for training at scale. About the reader For Python programmers familiar with machine learning and the basics of deep learning.

Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database.Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. In Kafka Streams in Action, Second Edition you’ll learn how to: Design streaming applications in Kafka Streams with the KStream and the Processor API Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry Build applications that respond immediately to events in either Kafka Streams or ksqlDB Craft materialized views over streams with ksqlDB This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. Foreword by Jun Rao. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Enterprise applications need to handle thousands—even millions—of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging. About the book Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you’ll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you’ll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications. What's inside Design efficient streaming applications Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry About the reader For Java developers. No knowledge of Kafka or streaming applications required. About the author Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache Kafka? project. Table of Contents PART 1 1 Welcome to the Kafka event streaming platform 2 Kafka brokers PART 2 3 Schema Registry 4 Kafka clients 5 Kafka ConnectPART 3 6 Developing Kafka Streams 7 Streams and state 8 The KTable API 9 Windowing and timestamps 10 The Processor API 11 ksqlDB 12 Spring kafka 13 Kafka Streams Interactive Queries 14 Testing

Build your skills with React and its ecosystem fast. There's no slow theory and tedious history. You'll dive into React code right from the very first chapter. The book teaches you how React thinks, introducing ways of structuring your architecture that even work with large teams. React Quickly, Second Edition is a practical guide to React for busy web developers. Following over 100 carefully chosen and clearly explained examples, you'll learn React development using your existing JavaScript and web development skills. This totally rewritten second edition is full of brand new topics, including chapters on functional components, static site generations, and CSS in JS.