Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Kevin P. Murphy Machine Learning: A Probabilistic Perspective Reviews Summary

Ratings Breakdown

Rated 4.4 by 334 people

Pros from Reviews

  • Cutting-edge and comprehensive
  • Great desk reference
  • Unified presentation
  • Excellent accompanying software
  • Complementary to other books
  • Cohesive and comprehensive framework
  • Unifying framework and notation
  • Broad, thorough, and unified presentation

Cons from Reviews

  • Minor quibbles
  • Archived software with limited development
  • Not suitable for beginners
  • Poorly written
  • Math heavy descriptions
  • Not much on deep neural network and reinforcement learning
  • Expected newer edition with errors
  • Not appealing for beginners

Notable Features

1104 pages
Illustrated edition
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