Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

by Valliappa Lakshmanan (Author), Sara Robinson (Author), Michael Munn (Author) - Machine Learning Design Patterns Reviews Summary

Ratings Breakdown

Rated 4.6 by 302 people

Pros from Reviews

  • Practical design patterns
  • Fills knowledge gaps
  • Well-written with examples
  • Useful for ML practitioners
  • Good tips and techniques
  • Addresses common design patterns
  • Easy to read and structured
  • Comprehensive description of concepts

Cons from Reviews

  • Difficult to read figures
  • Some errors/typos
  • Too focused on Google's ML products
  • Misleading title
  • Not enough like Design Patterns
  • Some patterns are outdated
  • Not a ML design pattern book
  • Not a comprehensive taxonomy
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