MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: David Sontag
View the complete course: https://ocw.mit.edu/6-S897S19
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j
Prof. Sontag discusses causal inference, examples of causal questions, and how these guide treatment decisions. He explains the Rubin-Neyman causal model as a potential outcome framework.
License: Creative Commons BY-NC-SA
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