The AI Mastery Trilogy is a comprehensive guide to the basics of artificial intelligence (AI) for managers and modern programmers. The collection includes three books that cover essential mathematics for AI, coding practices for modern programmers, and the fundamentals of AI. The trilogy provides a holistic approach to understanding AI, from its basic concepts to advanced techniques, and equips readers with the skills and knowledge necessary to navigate the rapidly evolving field of AI. Book 1: Essential Mathematics for AI - This book provides an overview of the mathematical concepts that are crucial for understanding AI. It covers topics such as linear algebra, calculus, probability, and statistics, and explains how these concepts are applied in AI algorithms. Readers will gain a solid foundation in the mathematical principles that underlie AI and be able to apply them to real-world problems. Book 2: Coding Practices for Modern Programmers - This book delves into the practical aspects of AI programming, covering topics such as data structures, algorithms, and software development. Readers will learn how to write efficient and effective code, as well as best practices for debugging and testing. Book 3: AI Fundamentals - This book explores the fundamental concepts of AI, including machine learning, deep learning, and neural networks. It also covers the history of AI, current trends, and future directions in the field. Readers will gain a comprehensive understanding of AI and its potential applications. The AI Mastery Trilogy is essential reading for anyone looking to master AI, from managers and executives to programmers and developers.

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