Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems

Eyal Wirsansky Hands-On Genetic Algorithms with Python Reviews Summary

Ratings Breakdown

Rated 4.7 by 4 people

Pros from Reviews

  • Clear explanations of concepts
  • Practical Python examples
  • Coverage of advanced topics
  • Focus on real-world applications
  • Integration with modern AI techniques
  • Hands-on experience through exercises

Cons from Reviews

  • Requires basic Python knowledge

Notable Features

Real-world applications
Comprehensive guide
Updated edition
High customer rating
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