Overview

""Essential Mathematics"" is an essential guide for understanding the crucial role that mathematics plays in the field of Artificial Intelligence. From the most basic concepts to advanced techniques, this book offers a practical and accessible approach that enables readers to develop a solid understanding of the mathematical tools necessary to tackle the challenges of machine learning and computational intelligence. Throughout its 30 chapters, the book covers a wide variety of topics, including linear algebra, probability and statistics, optimization, and advanced statistical models. Each section not only presents the underlying theory but also emphasizes its practical application to real-world problems related to artificial intelligence. The author, with years of experience at the intersection of mathematics and technology, combines his passion for teaching with case studies and challenging exercises. This book is not just a compendium of mathematical knowledge; it is also an invitation to explore the fascinating world of artificial intelligence through the lens of mathematics. Ideal for those looking to delve deeper into this dynamic field, ""Essential Mathematics"" is undoubtedly one of the cornerstones of modern education in AI.

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