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Machine Learning and Metaheuristics: Methods and Analysis

- Machine Learning and Metaheuristics: Methods and Analysis

Forfatter: info mangler
Bog
  • Format
  • Bog, paperback
  • Engelsk
  • 312 sider

Beskrivelse

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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Detaljer
Størrelse og vægt
  • Vægt532 g
  • Dybde1,6 cm
  • coffee cup img
    10 cm
    book img
    15,5 cm
    23,5 cm

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