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| book details |
Foundations of Probabilistic Programming
Edited by
Gilles Barthe
, Edited by
Joost-Pieter Katoen
, Edited by
Alexandra Silva
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| book description |
What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.
| product details |
Normally shipped |
Enquiries only
Publisher |
Cambridge University Press (Virtual Publishing)
Published date |
18 Nov 2020
Language |
Format |
Digital download and online
Pages |
0
Dimensions |
0 x 0 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-1-1087-7075-0
Readership Age |
BISAC |
computers / programming languages / general
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The Coming Wave: AI, Power and Our Future
Mustafa Suleyman
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352 pages
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The Memory Collectors: A Novel
Dete Meserve
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320 pages
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Living in a hut in 21st Century South Africa
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Survive the AI Apocalypse: A guide for solutionists
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232 pages
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Let's stare the future down and, instead of fearing AI, become solutionists.
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