Lecture 25: Interpretability

Name: Lecture 25: Interpretability
Uploaded: 2020-10-22T19:37:16Z
Duration: 1 h 18 min 42 s
Description: 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. Speaker: Peter Szolovits Lecture 25: Interpretability slides (PDF - 3.2MB)

1:18:42

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.

Speaker: Peter Szolovits

Lecture 25: Interpretability slides (PDF - 3.2MB)