Optimization Algorithms in Machine Learning

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Optimization Algorithms in Machine Learning is written by Debashish Das and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9819638496 (ISBN 10) and 9789819638499 (ISBN 13).

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry.