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Hands-on Figaro language examples: Enables readers to build and test probabilistic models directly in code
Case studies on spam filtering and image recovery: Demonstrates practical applications of probabilistic programming
Bayesian and Markov network modeling: Teaches advanced techniques for prediction and inference
Functional and object-oriented modeling approaches: Expands understanding of probabilistic programming paradigms
Includes free PDF, Kindle, and epub ebook access: Offers flexible reading formats
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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 th
