Machine Learning and Metaheuristics: Methods and Analysis /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dulhare, Uma N. (Editor), Houssein, Essam Halim (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Algorithms for Intelligent Systems,
Subjects:
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Call Number: Q342
 
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