Premium Support

Video Lectures Help

Having trouble viewing lectures? Try changing players. Your current player format is html5. Change to flash.

 Introduction and Overview (Week 1)

 Bayesian Network Fundamentals (Week 1)

 Template Models (Week 1)

 ML-class Octave Tutorial (Week 1, Optional)

 Structured CPDs (Week 2)

 Markov Network Fundamentals (Week 2)

 Representation Wrapup: Knowledge Engineering (Week 3)

 Inference: Variable Elimination (Week 3)

 Inference: Belief Propagation, Part 1 (Week 3)

 Inference: Belief Propagation, Part 2 (Week 4)

 Inference: MAP Estimation, Part 1 (Week 4)

 Inference: MAP Estimation, Part 2 (Week 5)

 Inference: Sampling Methods (Week 5)

 Inference: Temporal Models and Wrap-up (Week 6)

 Decision Theory (Week 6)

 ML-class Revision (Week 6, Optional)

 Learning: Overview (Week 6)

 Learning: Parameter Estimation in BNs (Week 7)

 Learning: Parameter Estimation in MNs (Week 7)

 Structure Learning (Week 8)

 Learning With Incomplete Data (Week 9)

 Learning: Wrapup (Week 9)

 Summary (Week 9)

Help Close Video Dialog Box