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Practical Probabilistic Programming by Pfeffer, Avi is a science book available to read on EtoBox.

What is Practical Probabilistic Programming about?

The data you accumulate about your customers, products, and website users can not only help you interpret your past, it can help you predict your future! Probabilistic programming uses code to draw probabilistic inferences from data. By applying specialized algorithms, your programs assign degrees of probability to conclusions. This means you can forecast future events like sales trends, computer system failures, experimental outcomes, and many other critical concerns. Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In this book, 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. 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 syste

Who reads Practical Probabilistic Programming?

Author

Pfeffer, Avi

Publisher

Manning Publications Company, O'Reilly Media, Incorporated [distributor

Published

2016

Language

EN

ISBN

9781638353959

Category

science

Subjects

Computer Science, Engineering, Science

Rating

4.43 / 5 (387 ratings)

Updated

2026-03-14