Machine Learning and Metaheuristics: Methods and Analysis

Discover the fascinating world of optimization with "Machine Learning and Metaheuristics: Methods and Analysis" by Uma N. Dulhare. This 2023 edition, published by Springer Verlag, delves into the intricacies of optimization algorithms, categorizing them into deterministic and probabilistic methods. Spanning 295 pages, this hardback book provides in-depth analysis and practical insights into cutting-edge algorithms, including particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Whether you are a student, researcher, or professional in the field, this comprehensive guide will enhance your understanding of machine learning techniques and their applications. Don't miss the opportunity to enrich your knowledge with this essential resource!