[0:00:00]    Exam Announcement

[0:02:53]    Inference in Bayes Nets

[0:10:44]    Learning in Bayes Nets

[0:13:37]    Algorithm for Constructing Bayes Nets

[0:14:28]        - Example: Design form causal relationships

[0:17:22]        - Example: No conditional independencies

[0:35:03]    Mixing Discrete and Real Values

[0:38:18]    Bayes Network for Hidden Markov Models

[0:40:26]    Conditional Independence, Revisited

[0:42:13]        - Easy Network 1: Head to Tail

[0:51:24]        - Easy Network 2: Tail to Tail

[0:54:08]        - Easy Network 2: Head to Head

[0:59:47]    D-Separation

[1:02:33]        - Examples

[1:10:43]    Markov Blanket