Lilhore U Math Optimization for Artificial Intelligence for Robotics ML 2025
General:
Name: Lilhore U Math Optimization for Artificial Intelligence for Robotics ML 2025
Format: pdf
Size: 8.76 MB
Book:
Title: Math Optimization for Artificial Intelligence (for True Epub)
Author: Umesh Kumar Lilhore, Vishal Dutt, T. Ananth Kumar, Martin Margala, Kaamran Raahemifar
Language: angielski
Year: 2025
Subjects: Computers, Science & Technology, Medicine & Nursing, Business, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Medicine, Industries, Computer Business & Culture, Mathematics, Engineering – General & Miscellaneous, Health-Related Professions, Computer Programming, Mechanical Engineering & Dynamics, Basic Sciences, Technology Industries, Artificial Intelligence – General, Biomedical Technology & Engineering, Computer Industry – General & Miscellaneous, Computer Mathematics, Mathematics – Applied, Medical Technology, Numerical Analysis & Solutions, Programming – General & Miscellaneous, Robotics & Computer Vision, Mathematical Programming & Operations Research, Linear and nonlinear programming, Mathematical optimization
Publisher: De Gruyter
ISBN: 9783111436241
Total pages: 898
Description:
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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