Media Summary: Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
Deployable Probabilistic Programming - Detailed Analysis & Overview
Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This will be a high-level talk discussing the separation of statistical models and inference algorithms. Things we'd like to talk ... This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... Upcoming Events Join our Meetup group for more events! Austin Rochford: Introduction to ...
![[08x11] What is Probabilistic Programming?](https://i.ytimg.com/vi/eafbKLSN_xQ/mqdefault.jpg)
![[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)](https://i.ytimg.com/vi/Qu6-_AnRCs8/mqdefault.jpg)