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Foundations of Probabilistic Programming (Hardcover)
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Foundations of Probabilistic Programming (Hardcover)
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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.
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