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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series) Hardback - 2022
by Murphy, Kevin P
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- Hardback
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Details
- Title Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
- Author Murphy, Kevin P
- Binding Hardback
- Condition Used - Very good
- Pages 864
- Volumes 1
- Language ENG
- Publisher The MIT Press
- Publication date 3/1/2022 12:00:01 AM
- Features Bibliography, Index
- Bookseller's Inventory # mon0000050713
- ISBN 9780262046824 / 0262046822
- Weight 3.4 lbs (1.54 kg)
- Dimensions 9.13 x 8.03 x 1.5 in (23.19 x 20.40 x 3.81 cm)
- Size 1.2598 in x 9.3307 in x 8.2677 i
- Category Computers - General Information
- Library of Congress subjects Probabilities, Machine learning
- Library of Congress Catalogue Number 2021027430
- Dewey Decimal Code 006.31
- Quantity available 3
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Reader reviews for Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Review summary
Readers view this probabilistic machine learning series as an ambitious, comprehensive reference work that prioritizes theoretical understanding over practical implementation. The book serves as an encyclopedic survey of modern ML topics from a Bayesian perspective, with up-to-date content and reproducible code examples. However, reviewers note it demands substantial prerequisite knowledge and features inconsistent depth across chapters, making it more suitable for experienced practitioners and researchers than beginners seeking hands-on instruction.
Readers say this book is:
comprehensive mathematical rigor encyclopedic advanced challenging uneven coverage specialized audience reference-oriented demanding prerequisites state-of-the-artWrite a review for this book
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