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Machine Learning and Metaheuristics

Machine Learning and Metaheuristics Methods and Analysis - Algorithms for Intelligent Systems

Paperback (02 Nov 2024)

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Publisher's Synopsis

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. 

Book information

ISBN: 9789819966479
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
DEWEY: 519.6
DEWEY edition: 23
Language: English
Number of pages: 295
Weight: -1g
Height: 235mm
Width: 155mm