Introduction to Probabilistic Programming 101 Yu Xia
Exploring Probabilistic Programming 101 Yu Xia reveals several interesting facts. Probabilistic programming
Probabilistic Programming 101 Yu Xia Comprehensive Overview
This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... For more information about Stanford's Artificial Intelligence professional and graduate
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Summary & Highlights for Probabilistic Programming 101 Yu Xia
- Jules Jacobs (Radboud University Nijmegen) Paper: https://dl.acm.org/doi/pdf/10.1145/3434339 Abstract
- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
- Probabilistic programming
- Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference,
- Kevin Smith, MIT BMM Summer Course 2018.
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