Math Optimization for Artificial Intelligence : Heuristic and Metaheuristic Methods for Robotics and Machine Learning
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This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machine learning. The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from state-of-the-art decision-making algorithms for robots to data-driven machine learning models. Each chapter offers a meticulous examination of the theoretical foundations and practical applications of mathematical optimization, helping readers understand how these methods are transforming the field of technology.
This book is an invaluable resource for researchers, practitioners, and students. It makes AI optimization accessible and comprehensible, equipping the next generation of innovators with the knowledge and skills to further advance robotics and machine learning. While artificial intelligence constantly evolves, this book sheds light on the path ahead.
Get Math Optimization for Artificial Intelligence by Kaamran Raahemifar at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by De Gruyter and it has 430 pages.
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