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Metaheuristics for Machine Learning : Algorithms and Applications by Kanak Kalita & Narayanan Ganesh & S. Balamurugan is a book available to read on EtoBox.

What is Metaheuristics for Machine Learning : Algorithms and Applications about?

METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries

Author

Kanak Kalita & Narayanan Ganesh & S. Balamurugan

Publisher

Wiley & Sons, Incorporated, John

Published

2024

Language

EN

ISBN

9781394233922

Subjects

Computer Science, Stem