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- Lectures/Week 9 - 23 Summary/01_Class_Summary_24-38.mp4 33.8 MB
- Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.mp4 30.4 MB
- Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.mp4 28.1 MB
- Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.mp4 28.0 MB
- Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.mp4 27.3 MB
- Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.mp4 27.0 MB
- Lectures/Week 9 - 22 Learning- Wrapup/01_Summary-_Learning_20-11.mp4 26.9 MB
- Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.mp4 26.3 MB
- Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.mp4 26.1 MB
- Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.mp4 25.8 MB
- Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.mp4 24.4 MB
- Lectures/Week 1 - 01 Introduction and Overview/02_Overview_and_Motivation_19-17.mp4 24.1 MB
- Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.mp4 23.7 MB
- Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.mp4 23.6 MB
- Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.mp4 23.5 MB
- Lectures/Week 1 - 02 Bayesian Network Fundamentals/05_Independencies_in_Bayesian_Networks_18-18.mp4 22.6 MB
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