(ML 15.5) Logistic regression (binary) - computing the gradient
13:56
(ML 15.6) Logistic regression (binary) - computing the Hessian
14:37
(ML 16.3) Expectation-Maximization (EM) algorithm
14:30
(ML 15.7) Logistic regression (binary) - applying Newton's method
14:53
(ML 15.3) Logistic regression (binary) - intuition
22:38
SL - Advanced Risk Minimization - Bias-Variance Decomposition
11:16
(ML 15.1) Newton's method (for optimization) - intuition
20:15
Abed INVOKER Is One Of The Best ... 🔥 Right Click Build 7.37e - Dota 2
27:22