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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
物品 #: 15758151

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

85% of respondents would recommend this to a friend

物品 #: 15758151

HKD 572

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產品詳情

Shop Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference book online at Ubuy KW. Discover the 1st edition of this popular book on Ubuy's 香港.
Publisher Addison-Wesley Professional
Publication date October 2, 2015
Edition 1st
Language English
Print length 256 pages
ISBN-10 0133902838
ISBN-13 978-0133902839
Item Weight 13.5 ounces (382.73 grams)
Dimensions 7 x 0.57 x 9.13 inches (17.8 x 1.4 x 23.2 cm)

產品敘述

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

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Data Mining Editorial Review

"Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference" is a comprehensive learning guide to probabilistic programming and Bayesian inference presented through Python libraries such as PyMC. The book has a fast-paced narrative with heavy coding, but it is well worth the effort it takes to follow. The book, in general, received positive reviews, especially from beginners starting with PyMC. However, readers complained about the low quality of the Addison Wesley paper edition, with all the colored figures printed in black and white, and the font size being too small. Some readers found the book less useful than they had hoped as the book does a poor job of showing the mathematical formalism of the examples/topics and connecting them to the actual code. Some readers also struggled to understand the examples as the author assumes readers know about all the function and method calls it correlates with. Moreover, most of the matplotlib formatting code could have been handled with a stylesheet, thereby removing it from the meaningful code. Despite these issues, some readers love the jupyter notebooks that accompany the book, and some volunteers have converted them to the latest version. Overall, the book is highly recommended as a starting point for learning probabilistic programming.

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優點

  • A comprehensive guide to probabilistic programming and Bayesian inference.
  • The book is paced quickly and has a lot of content.
  • The jupyter notebooks that accompany the book.
  • An excellent starting point for someone learning PyMC or Bayesian statistics.

缺點

  • The Low quality of the Addison Wesley paper edition.

Product Price History

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