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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)
物品 #: 90353559

Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)

89% of respondents would recommend this to a friend

物品 #: 90353559

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產品詳情

Shop Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning) online at a best price in 香港. 0262046822
Publisher MIT Press
Publication date 1 Feb. 2022
Language English
Print length 944 pages
ISBN-10 0262046822
ISBN-13 978-0262046824
Item weight 1.5 kg
Dimensions 21.3 x 3.3 x 23.5 cm

產品敘述

Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)

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Higher Education Editorial Review

Probabilistic Machine Learning: An Introduction (Adaptive Computation And Machine Learning) by Kevin Murphy is an expansive text that delves deeply into the world of modern machine learning. With a publication length of 944 pages, it offers thorough coverage of important concepts, including autoencoders and transformer networks, making it a fantastic resource for learners at all levels. Many readers appreciate the clear organization and the explanation of notations, which facilitate an easier transition for those encountering new concepts. Overall, this book serves as an excellent complement to existing knowledge and skilfully bridges the gap between theory and practical application, although some users have noted minor wear issues with the physical copy upon receipt.

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優點

  • Well-organized content for easy comprehension
  • Covers advanced topics like VAE and attention mechanisms
  • Suitable for various skill levels in machine learning
  • Equipped with great diagrams and visuals
  • Accessible introduction to complex subjects

缺點

  • Some copies may show signs of wear upon arrival

Product Price History

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HKD 1277

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