SL - Information Theory - Information Theory for Machine Learning
14:48
Uses of Information Theory - Computerphile
20:50
SL - Regularization - Geometry of L2 Regularization
16:22
Information Theory Basics
29:54
I2ML - Random Forest - Basics
14:08
I2ML - Evaluation - ROC Measures
51:51
Entropy & Mutual Information in Machine Learning
20:26
SL - Regularization - Non-Linear Models and Structural Risk Minimization
1:00:09