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Bayesian Methods For Hackers: Probabilistic Programming And Bayesian Inference (Addison-Wesley Data & Analytics) Series: Addison-Wesley Data & Analytics

Paperback: 256 pages

Publisher: Addison-Wesley Professional; 1 edition (October 12, 2015)

Language: English

ISBN-10: 0133902838

ISBN-13: 978-0133902839

Product Dimensions: 7 x 0.5 x 9 inches

Shipping Weight: 9.1 ounces (View shipping rates and policies)

Average Customer Review: 3.8 out of 5 stars See all reviews (12 customer reviews)

Best Sellers Rank: #68,700 in Books (See Top 100 in Books) #29 in Books > Computers & Technology > Programming > Software Design, Testing & Engineering > Testing #35 in Books > Computers & Technology > Databases & Big Data > Data Mining #58 in Books > Textbooks > Computer Science > Database Storage & Design

I really like the book, but want to bring up two things neglected by its author.One is acknowledgments. "Bayesian Methods For Hackers" did not appear in a vacuum. I would like to see a hat tip to the creators of PyMC, and at least a mention of BUGS, the still-very-much-alive software which brought Bayesian methods to academic masses and inspired MCMC-engine projects like PyMC. Then there are PyMC's cousins JAGS and STAN - these can be familiar to the R crowd - and people who wrote popular books on Bayesian analysis, such as John Kruschke, the author of "Doing Bayesian Data Analysis". (I should also mention James Stone, with his "Bayes' Rule". "Bayesian Modeling Using WinBUGS" by Ioannis Ntzoufras could have had more impact, but its publisher, Wiley, sabotaged the book with greedy pricing and no-frills presentation. Looking into the near future - I see that Manning have their own "probabilistic programming" book in the works, by Avi Pfeiffer). Naming those people, programs and books would provide useful pointers to aspiring "Bayesian hackers".The second reservation is about editorial effort. The very first page (when it used "ascribe" instead of "subscribe") told me that the manuscript had not been proof-read. As I went through the book, I found more unpolished passages, and a handful of lines capable of triggering a facepalm by a statistics professor. Now, this is not a book for statistics professors - they don't tend to use Python, for starters, while BMH assumes that you have Python installed - and the practical question is whether these issues are going to seriously frustrate or mislead the average reader. My answer is "not really".

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