25. Interpretability
MIT OpenCourseWare MIT OpenCourseWare
5.09M subscribers
4,549 views
0

 Published On Oct 22, 2020

MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: Peter Szolovits
View the complete course: https://ocw.mit.edu/6-S897S19
YouTube Playlist:    • MIT 6.S897 Machine Learning for Healt...  

Prof. Szolovits discusses interpretability because modern machine learning models are very difficult to understand. He discusses different methods that have been used to attempt to overcome inscrutable models.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

show more

Share/Embed