CRC Press, 2023. — 529 p. — (Mathematics and its Applications: Modelling, Engineering, and Social Sciences). — ISBN 1032255676.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the
intersection between
mathematics and AI/ML and provides an overview of the
current research streams.
Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses
the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to
improve existing algorithms by using
advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to
simulate data by using artificial neural networks.
Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for
researchers, practitioners, engineers, and AI consultants.
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