Learning NServiceBus Sagas. Discover how to design, build, and test sagas and messaging with NServiceBus

Richard L Helton

Mastering Adobe Photoshop Elements. Bring out the best in your images using Adobe Photoshop Elements 2024 - Sixth Edition

Robin Nichols

Dive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels.It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family.Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques—create the perfect picture or imaginative fantasy illustration. You’ll also learn the online realms of animation, video creation, and third-party plug-ins.By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence.

Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Ben Auffarth

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research.Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems.By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.

Apache Spark for Machine Learning. Build and deploy high-performance big data AI solutions for large-scale clusters

Deepak Gowda

In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.

Learning SQLite for iOS. Extend SQLite with mobile development skills to build great apps for iOS devices

Gene Da Rocha

The ability to use SQLite with iOS provides a great opportunity to build amazing apps. Apple's iOS SDK provides native support for SQLite databases. This combination offers the potential to create powerful, data-persistent applications.This book starts with the architecture of SQLite database and introduces you to concepts in SQL . You will find yourself equipped to design your own database system, administer it, and maintain it. Further, you will learn how to operate your SQLite databases smoothly using SQL commands. You will be able to extend the functionality of SQLite by using its vast arsenal of C API calls to build some interesting, exciting, new, and intelligent data-driven applications. Understand how Xcode, HTML5, and Phonegap can be used to build a cross-platform modern app which can benefit from all these technologies - all through creating a complete, customizable application skeleton that you can build on for your own apps.

Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects

Cory Lesmeister

Infinispan Data Grid Platform Definitive Guide. Master Infinispan to create scalable and high-performance applications

Wagner Santos, Wagner R Santos

Application Development for IBM WebSphere Process Server 7 and Enterprise Service Bus 7. A Service Oriented Architecture approach has many benefits for your applications, including flexibility, reusability, and increased revenue. You can exploit those benefits to the fullest by following this step-by-step tutorial for WPS and WESB

Salil Ahuja, Swami Chandrasekaran

By adopting an SOA approach in Business Process Management (BPM), you can make your application flexible, reusable, and adaptable to new developments. The SOA approach also gives you the potential to lower costs (from reuse), and increase revenue (from adaptability and flexibility). However, integrating basic SOA constructs (such as Process, Business Services, and Components) and core building blocks of BPM (such as Process Modeling and Enterprise Service Bus) in a real-world application can be challenging.This book introduces basic concepts of Business Integration, SOA Fundamentals, and SOA Programming Model and implements them in numerous examples. It guides you to building an Order Management application from scratch using the principles of Business Process Management and Service Oriented Architecture and using WebSphere Process Server (WPS) and WebSphere Enterprise Service Bus (WESB). The various detailed aspects, features, and capabilities of the product are conveyed through examplesWe begin with essential concepts on Business Integration, SOA Fundamentals and SOA Programming Model. Then we set up the development environment to build your first Hello Process and Hello Mediation applications.Gradually, we build an SOA-based Order Management Application. We cover important aspects and functions of WPS and WESB with numerous practical examples. We show how to analyze your application's business requirements and check if an SOA approach is appropriate for your project. Then you do a top-down decomposition of your application and identify its use cases, business processes, and services. Having built the SOA Application, we introduce you to various non-functional topics, including: Administration, Governance, Management, Monitoring, and Security. We also discuss deployment topologies for WPS and WESB, performance tuning, and recommended practices.