Optimization in Machine Learning and Applications

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Optimization in Machine Learning and Applications is written by Anand J. Kulkarni and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9811509948 (ISBN 10) and 9789811509940 (ISBN 13).

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.