51:57

6.034 Recitation 10: Boosting (Adaboost)

25:09

How Bayes Theorem works

39:57

Bayesian Networks

52:05

6.034 Recitation 7: Support Vector Machines (SVMs)

30:03

17 Probabilistic Graphical Models and Bayesian Networks

46:30

2 Probability and Naive Bayes

1:16:07

Lecture 1: Introduction to Superposition

1:03:08

"On the Bayesian Interpretation of Black–Litterman" by Dr. Gordon Ritter