Machine Learning and Metaheuristics: Methods and Analysis

Released on by Uma N. Dulhare
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  • Machine Learning and Metaheuristics: Methods and Analysis Book Detail

  • Author : Uma N. Dulhare
  • Release Date : 2023-12-03
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 304
  • ISBN 13 : 9819966450
  • File Size : 73,73 MB
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Machine Learning and Metaheuristics: Methods and Analysis by Uma N. Dulhare PDF Summary

Book Description: 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 elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

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Metaheuristics for Machine Learning

Metaheuristics for Machine Learning

File Size : 12,12 MB
Total View : 426 Views
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METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting