Overview: Provides rich set of chapters of machine learning and metaheuristic optimization.Emphasizes optimization algorithms such as PSO, ant colony optimization, cuckoo search algorithm, etc..Includes real-wo.This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book
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