| Practical Probabilistic Programming (Manning) |
| Wednesday, 27 April 2016 | |||
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Avi Pfeffer introduces the working programmer to probabilistic programming.You’ll immediately work on practical examples like building a spam filter, diagnosing computer system data problems, and recovering digital images. You’ll discover probabilistic inference, where algorithms help make extended predictions about issues like social media usage. <ASIN:1617292338> Along the way, you’ll learn to use functional-style programming for text analysis, object-oriented models to predict social phenomena like the spread of tweets, and open universe models to gauge real-life social media usage. The book also has chapters on how probabilistic models can help in decision making and modeling of dynamic systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications and access to a web forum where you can make comments about the book, ask technical questions and receive help from the author and the community.
Author: Avi Pfeffer Date: April 10, 2016
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