Barthe, Gilles 1967- editor. Katoen, Joost-Pieter editor. Silva, Alexandra editor. text enk 2021 monographic eng 1 online resource (xiv, 568 pages) : digital, PDF file(s). 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. edited by Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva. Title from publisher's bibliographic system (viewed on 20 Nov 2020). Computer programming Probabilities Data processing QA76.6 .F69 2021 001.642 9781108770750 (ebook) https://doi.org/10.1017/9781108770750 https://doi.org/10.1017/9781108770750 UkCbUP 190321 20210213154024.0 CR9781108770750 eng