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Practical Probabilistic Programming

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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 system data problems and recover digital images.

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Practical Probabilistic Programming, Avi Pfeffer

Langue
Année de publication
2016
Reliure
(souple)
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Titre
Practical Probabilistic Programming
Langue
Anglais
Publié
2016
Format
souple
Pages
456
ISBN10
1617292338
ISBN13
9781617292330
Séries
Description
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 system data problems and recover digital images.