Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

iOS 17 Programming for Beginners. Unlock the world of iOS development with Swift 5.9, Xcode 15, and iOS 17 – your path to App Store success - Eight Edition

Ahmad Sahar

In a world with nearly 2 million apps on the App Store, the demand for skilled iOS developers has never been higher. iOS 17 Programming for Beginners, Eighth Edition is your gateway to this lucrative and dynamic field. This hands-on guide is tailored for those who are new to iOS and takes you on a journey from learning the Swift language to crafting your own app and seeing it thrive on the App Store.Our approach is hands-on and practical. Each chapter is designed to be a stepping stone in your development journey, providing step-by-step tutorials, real-life examples, and clear explanations of complex concepts. As you progress, you'll not only be skilled in Swift but also incorporate cutting-edge technologies into your apps. You'll learn how to publish your creations and harness the power of iOS 17 through a straightforward and easy to program example app divided into manageable parts.By the time you've completed this book, you'll possess the skills and knowledge to not only develop and publish captivating apps but also leverage online resources to continually enhance your app development prowess.

React Key Concepts. An in-depth guide to React's core features - Second Edition

Maximilian Schwarzmüller

Maximilian Schwarzmüller is a bestselling instructor who has helped more than three million students worldwide learn how to code. His bestselling React video course, “React – The Complete Guide”, has over nine hundred thousand students on Udemy.Max has written this quick-start reference that distills the core concepts of React. Simple explanations, relevant examples, and step-by-step derivations make this guide the ideal resource for busy developers. In this second edition, Max guides you through changes brought by React 19, including the new use() hook, form actions, and how to think about React on the server.This book will support you through your next React projects in giving you a behind-the-scenes understanding of the framework – whether you've just finished Max's video course and are looking for a handy reference, or you’re using a variety of other learning materials and need a single study guide to bring everything together.You’ll find full solutions to all end-of-chapter quizzes and exercises in the book’s GitHub repository.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Practical Generative AI with ChatGPT. Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity - Second Edition

Valentina Alto

Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow.Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs.The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away.By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage.

Instant Nokogiri. Learning data scraping and parsing in Ruby using the Nokogiri gem

Hunter Powers, S. Hunter Powers

A wealth of information sits waiting on the Internet. Instant Nokogiri helps you access this information today with Nokogiri, a slick and fast HTML and XML parsing engine. Bundled in an easy-to-use Ruby gem, Nokogiri empowers you to combine disparate data sources and gain an unprecedented insight into your Ruby applications.Instant Nokogiri is a hands-on guide to extracting information from the sources available on the Internet, sources that are not traditionally accessible to developers. You will learn the secrets of identifying content, extracting just the right parts, and incorporating the new data in your Ruby applications.Instant Nokogiri provides step-by-step instructions on how to incorporate the power of the Nokogiri gem and data parsing into your Ruby projects. You will learn all the basics of designing a project around data parsing, exploring disparate data sources, and refining strategies and theories. You will also combine your thoughts in a real-world, real-data sample application. This book will examine common Nokogiri and Ruby methods useful in scraping and parsing complete with practical code samples. You will also learn the secrets behind effective caching, rate limiting, and masking your identity. Instant Nokogiri will teach you how to get targeted data out of HTML and into Ruby, as well as tons of tips, tricks, code snippets, and expert advice.

Learning Cython Programming. Expand your existing legacy applications in C using Python - Second Edition

Philip Herron

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers.You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.

Spring 2.5 Aspect Oriented Programming. Create dynamic, feature-rich, and robust enterprise applications using the Spring framework

Massimiliano Dess?É?íÂ!¨, Brian Fitzpatrick, Massimiliano Dessi

Developing powerful web applications with clean, manageable code makes the maintenance process much easier. Aspect-Oriented Programming (AOP) is the easiest and quickest way to achieve such results. Spring is the only Java framework to offer AOP features. The combined power of Spring and AOP gives a powerful and flexible platform to develop and maintain feature-rich web applications quickly.This book will help you to write clean, manageable code for your Java applications quickly, utilizing the combined power of Spring and AOP. You will master the concepts of AOP by developing several real-life AOP-based applications with the Spring Framework, implementing the basic components of Spring AOP: Advice, Joinpoint, Pointcut, and Advisor.This book will teach you everything you need to know to use AOP with Spring. It starts by explaining the AOP features of Spring and then moves ahead with configuring Spring AOP and using its core classes, with lot of examples. It moves on to explain the AspectJ support in Spring. Then you will develop a three-layered example web application designed with Domain-Driven Design (DDD) and built with Test-Driven Development methodology using the full potential of AOP for security, concurrency, caching, and transactions.