MIT OpenCourseWare: Free Courses from the institute

25. Interpretability

MIT OpenCourseWare: Free Courses from the institute

Show Notes

MIT 6.S897 Machine Learning for Healthcare, Spring 2019Instructor: Peter SzolovitsView the complete course: https://ocw.mit.edu/6-S897S19YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5jUploaded 22-10-20Prof. 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-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.edu Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

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