Probabilistic Programming

Probabilistic Programming

Explore probabilistic programming in this 1-hour 10-minute tutorial by Kevin Smith from MIT, presented at the BMM Summer Course 2018. Dive into key concepts such as computational theory of mind, intuitive physics engine, and probabilistic inference. Learn about the structure of probabilistic languages, storing variables and attributes, and using functions. Practice with hands-on problems covering concepts like flip away, memoization, and recursion. Gain insights into how neurons contribute to probabilistic programming and understand the advantages of using web-based probabilistic programming languages.