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
Hardcover
1104 pages
Illustrated edition
You might also be interested in:
- Maya Angelou I Know Why the Caged Bird Sings
- Maples Rugs Reggie Floral Kitchen Rugs Non Skid Accent Area Carpet [Made in USA]
- Blistex Medicated Lip Balm
- Sanus Ultra-Thin Flat Panel Mount for TV
- White Mountain Readers Paradise - 1000 Piece Jigsaw Puzzle
- Intel 1TB PCIe NVMe 3.0 x4 QLC Internal Solid State Drive (SSD)
- COOFANDY Knitted Tank Tops
- YKHJKLEC Samsung Galaxy S10 Case
- Torani Blueberry Pomegranate Smoothie Mix, 64 Ounce
- Brett Blumenthal 52 Small Changes for the Mind