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portada Machine Learning and Metaheuristics: Methods and Analysis
Type
Physical Book
Publisher
Language
English
Pages
295
Format
Hardcover
Dimensions
23.6 x 15.8 x 2.0 cm
Weight
0.66 kg.
ISBN13
9789819966448

Machine Learning and Metaheuristics: Methods and Analysis

Dulhare, Uma N. ; Houssein, Essam Halim (Author) · Springer · Hardcover

Machine Learning and Metaheuristics: Methods and Analysis - Dulhare, Uma N. ; Houssein, Essam Halim

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Synopsis "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 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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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