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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 417 | Sprache: Englisch | Produktart: Bücher | This book explains the importance of AI mathematical optimization. It covers AI optimization's fundamental concepts, methodologies, and practical applications in machine learning, automation, NLP, and real-world scenarios. The described optimization.
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Buch. Condition: Neu. Math Optimization for Artificial Intelligence | Heuristic and Metaheuristic Methods for Robotics and Machine Learning | Umesh Kumar Lilhore (u. a.) | Buch | Mathematical Methods in the Digital Age | XIII | Englisch | 2025 | Walter de Gruyter | EAN 9783111436050 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
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Published by Walter De Gruyter Apr 2025, 2025
ISBN 10: 3111436055 ISBN 13: 9783111436050
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Buch. Condition: Neu. Neuware - The book presents powerful optimization approaches for integrating AI into daily life.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.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.