Hands-On Genetic Algorithms with Python

Eyal Wirsansky

Language: English

Publisher: Packt Publishing

Published: Jun 17, 2024

Description:

Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep learning, NLP, and XAI using Python libraries

Key Features
  • Learn how to implement genetic algorithms using Python libraries DEAP, scikit-learn, and NumPy
  • Take advantage of cloud computing technology to increase the performance of your solutions
  • Discover bio-inspired algorithms such as particle swarm optimization (PSO) and NEAT
  • Purchase of the print or Kindle book includes a free PDF eBook
    • Book DescriptionWritten by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms.After an introduction to genetic algorithms and their principles of operation, you'll find out how they differ...