Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

Eyal Wirsansky Hands-On Genetic Algorithms with Python Reviews Summary

Ratings Breakdown

Rated 4.6 by 63 people

Pros from Reviews

  • Comprehensive and concise
  • Easy to understand
  • Great for beginners
  • Useful examples provided
  • Gentle learning curve
  • Well-structured content
  • Practical applications
  • Accessible writing style

Cons from Reviews

  • Delayed code introduction
  • Poor Kindle formatting

Notable Features

Real-world applications
Deep learning focus
Python programming
Comprehensive guide
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