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Practical Probabilistic Programming
Avi Pfeffer
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| #1259591 in Books | 2016-04-10 | Original language:English | PDF # 1 | 9.20 x1.00 x7.30l,.0 | File type: PDF | 456 pages||6 of 7 people found the following review helpful.| Important, but not ideal|By Dimitri Shvorob|The book's closest alternative is "Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference" by Davidson-Pilon - let me abbreviate it to BMH - but it is evident that "Practical Probabilistic Programming" (PPP, then) falls into a different weight category, both literally and figuratively. I gave Davidson-Pilon's b|About the Author|
|Avi Pfeffer is the principal developer of the Figaro language for probabilistic programming. He graduated from Stanford, taught at Harvard, and is currently a principal scientist at Charles River Analytics.
Summary
Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In it, you'll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code. Although PP can seem abstract, in this book you'll immediately work on practical examples, like using the Figaro language to build a spam filter and applying Bayesian and Markov networks, to diagnose computer ...
You can specify the type of files you want, for your device.Practical Probabilistic Programming | Avi Pfeffer. Which are the reasons I like to read books. Great story by a great author.
