Algorithm

With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.

C++ High Performance, Second Edition enables you to measure and identify bottlenecks in the code and eradicate them to amplify your application’s working speed without compromising the readability of your C++ codebase

Event-driven architecture in Golang makes it extremely easy to adapt to ever-demanding software systems, that need to be updated based on changing requirements. This book provides a hands-on approach to implementation of event-driven architecture and associated methodologies that will have you up and running and productive, in no time.

Algorithms play an important role in computing, so a deeper understanding of an algorithm's logic and mathematics is essential. Beyond traditional computing, being able to apply these algorithms to real-world problems is a necessary skill and what this book focuses on.

In this age of AI revolution, where the impossible seems within reach, the truth remains the same -- conquering the market isn't simple. This guide reveals the reality of robust institutional applications in Equities, Futures, and Forex.

This book covers the most important software development techniques, libraries, and utilities unique to C++ that every C++ developer can use to refactor their code base. This will simplify development, enabling you to create performant apps.

As machine learning algorithms become more powerful, data scientists need a clear grasp of their key components. This book explains the core math principles underpinning the most used algorithms, detailing their importance and practical applications.

Designed for JavaScript developers, this handbook dives into the practical implementation of advanced data structures such as B-Trees, Tries, and probabilistic models like Bloom Filters. Focused on real-world challenges, it explains how to handle large datasets, optimize caching, and implement efficient searches. With clear examples and technical depth, this book offers a realistic approach to applying advanced concepts in scalable and reliable systems.

Dive into the world of AI-driven writing by mastering prompt engineering for diverse applications, from content creation to chatbots. Discover the potential of LLMs for idea generation, overcoming writer's block, boosting productivity, and more.

Explore the nuances of transitioning from high-level languages to Rust with this book. Navigate potential frustrations arising from differences in modeling asynchronous program flow and recognize the need for a fundamental understanding of the topic.

Explore Python code recipes to use market data for designing and deploying algorithmic trading strategies. By following step-by-step instructions, you’ll be proficient in trading concepts and have hands-on experience in a live trading environment.

Java Coding Problems, Second Edition brings you a brand-new set of challenges designed to help you master solutions to all the most common real-world Java tasks. Gain confidence as a Java developer and in how to answer Java interview questions.

This perfectly timed resource provides clear explanations, hands-on examples and practical skills to ingest, parse, index, and query information to build AI applications that produce insightful, high-quality responses grounded in facts.

This fully-updated third edition covers the most important language and library features, as well as new recipes on C++23, including the stack library and expected and mdspan types, and C++20, like synchronized output streams and source location.

El autor explica el test de primalidad de Proth, y la conjetura de Martin como un nuevo tipo de test.