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Practical Probabilistic Programming by Ava Pfeffer (Paperback, 2016)

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DESCRIPTION Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees of probability to conclusions and make it possible to forecast future events like sales trends, computer system failures, experimental outcomes, and other critical concerns. Practical Probabilistic Programming explains how to use the PP paradigm to model application domains and express those probabilistic models in code. It shows how to use the Figaro language to build a spam filter and apply Bayesian and Markov networks to diagnose computer system data problems and recover digital images. Then it dives into the world of probabilistic inference, where algorithms help turn the extended prediction of social media usage into a science. The book covers functional-style programming for text analysis and using object-oriented models to predict social phenomena like the spread of tweets, and using open universe models to model real-life social media usage. It also teaches the principles of algorithms such as belief propagation and Markov chain Monte Carlo. The book closes out with modeling dynamic systems by using a product cycle as its main example and explains how probabilistic KEY SELLING POINTS Covers the basic rules of probabilistic inference Illustrated with useful practical examples Build a wide variety of probabilistic models AUDIENCE Code examples are written in Figaro. Some knowledge of Scala and a basic foundation in data science is helpful. No prior exposure to probabilistic programming is required. ABOUT THE TECHNOLOGY Probabilistic programming is a new discipline, and the tools and best practices are still emerging. Powerful new tools like the Figaro library built into Scala make probabilistic programming more practical in day-to-day work as a data scientist.

Product Identifiers

Publisher
Manning
ISBN-13
9781617292330
eBay Product ID (ePID)
225804382

Product Key Features

Number of Pages
454 Pages
Language
English
Publication Name
Practical Probabilistic Programming
Publication Year
2016
Subject
Computer Science
Type
Textbook
Author
Ava Pfeffer
Format
Paperback

Dimensions

Item Height
235 mm
Item Weight
734 g
Item Width
190 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Ava Pfeffer

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Practical Probabilistic Programming by Ava Pfeffer (Paperback, 2016)

All listings for this product

item 1 Practical Probabilistic Programming, Pfeffer, Ava

item 2 Practical Probabilistic Programming by Ava Pfeffer 9781617292330 | Brand New

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best-selling in Adult Learning & University

AQA Psychology for A Level Year 1 & AS Revision Guide: 2nd Edition by Rob Liddle, Matt Jarvis, Michael Griffin, Cara Flanagan (Paperback, 2020)

A Level Chemistry for OCR A Revision Guide by Rob Ritchie, Emma Poole (Paperback, 2017)

The Psychology of Money: Timeless lessons on wealth, greed, and happiness by Morgan Housel (Paperback, 2020)

Edexcel AS and A level Mathematics Statistics & Mechanics Year 1/AS Textbook + e-book by Michael Jennings, Bronwen Moran, Alan Clegg, Ian Bettison, J. Nicholson, Jane Dyer, Jean Littlewood, Greg Attwood, Susan Hooker (Mixed Media, 2017)

Edexcel AS and A level Mathematics Pure Mathematics Year 1/AS Textbook + e-book by Pearson Education Limited (Mixed media product, 2017)

KS2 Maths 10-Minute Weekly Workouts - Year 5 by CGP Books (Paperback, 2017)

Cognitive Behavior Therapy: Basics and Beyond by Aaron T. Beck, Judith S. Beck (Hardcover, 2020)

Save on Adult Learning & University

AQA Psychology for A Level Year 1 & AS Revision Guide: 2nd Edition - Paperback

PRINCE2® 7 - Managing Successful Projects

Edexcel as and a Level Mathematics Statistics & Mechanics Year 1/AS Textbook

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