[Coursera] Probabilistic Graphical Models
Stanford University

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FolderCoursera - Probabilistic Graphical Models
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Lectures/Week 1 - 01 Introduction and Overview/01_Welcome_05-35.mp47.45MB
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Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.mp427.33MB
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Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.mp410.12MB
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Lectures/Week 2 - 05 Structured CPDs/02_Tree-Structured_CPDs_14-37.mp416.81MB
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Lectures/Week 2 - 05 Structured CPDs/03_Independence_of_Causal_Influence_13-08.mp416.62MB
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Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.mp416.07MB
Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.srt14.90kB
Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.txt10.18kB
Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.mp413.16MB
Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.srt13.82kB
Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.txt9.48kB
Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.mp419.85MB
Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.srt16.60kB
Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.txt11.31kB
Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.mp426.27MB
Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.srt23.96kB
Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.txt16.39kB
Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.mp46.12MB
Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.srt5.49kB
Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.txt3.76kB
Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.mp423.48MB
Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.srt22.86kB
Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.txt15.56kB
Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.mp427.01MB
Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.srt27.39kB
Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.txt16.98kB
Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.mp410.50MB
Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.srt9.24kB
Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.txt6.37kB
Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.mp425.84MB
Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.srt28.87kB
Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.txt18.72kB
Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.mp49.45MB
Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.srt17.86kB
Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.txt12.19kB
Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.mp46.16MB
Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.srt11.43kB
Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.txt7.86kB
Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.mp411.64MB
Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.srt17.93kB
Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.txt12.26kB
Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.mp415.42MB
Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.srt13.16kB
Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.txt9.06kB
Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.mp410.01MB
Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.srt15.17kB
Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.txt10.38kB
Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.mp49.20MB
Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.srt14.44kB
Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.txt9.91kB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.mp413.90MB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.srt24.41kB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.txt16.69kB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.mp410.20MB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.srt16.90kB
Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.txt11.58kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.mp46.03MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.srt10.70kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.txt7.34kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.mp410.99MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.srt20.57kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.txt14.03kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.mp49.14MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.srt16.48kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.txt11.27kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.mp49.99MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.srt17.33kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.txt11.86kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.mp411.07MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.srt18.12kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.txt12.42kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.mp49.65MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.srt17.71kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.txt12.12kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.mp413.79MB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.srt27.17kB
Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.txt18.58kB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.mp413.26MB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.srt22.79kB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.txt15.61kB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.mp42.80MB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.srt5.24kB
Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.txt3.58kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.mp410.16MB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.srt19.39kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.txt13.23kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.mp411.74MB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.srt20.04kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.txt13.77kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.mp410.21MB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.srt18.89kB
Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.txt12.92kB
Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.mp414.45MB
Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.srt26.84kB
Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.txt18.36kB
Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.mp49.66MB
Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.srt17.41kB
Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.txt11.90kB
Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.mp49.99MB
Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.srt18.31kB
Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.txt12.53kB
Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.mp413.11MB
Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.srt20.03kB
Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.txt13.72kB
Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.mp417.73MB
Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.srt33.24kB
Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.txt22.71kB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.mp424.44MB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.srt25.35kB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.txt17.33kB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.mp414.84MB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.srt16.75kB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.txt11.42kB
Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.mp430.40MB
Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.srt30.57kB
Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.txt20.87kB
Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.mp420.64MB
Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.srt21.52kB
Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.txt14.71kB
Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.mp420.22MB
Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.srt22.16kB
Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.txt15.31kB
Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.mp411.69MB
Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.srt13.22kB
Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.txt9.00kB
Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.mp412.19MB
Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.srt13.10kB
Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.txt8.76kB
Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.mp48.90MB
Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.srt9.32kB
Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.txt6.41kB
Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.mp414.75MB
Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.srt16.42kB
Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.txt11.24kB
Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.mp49.41MB
Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.srt10.69kB
Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.txt7.34kB
Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.mp413.21MB
Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.srt15.19kB
Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.txt10.40kB
Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.mp418.36MB
Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.srt19.96kB
Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.txt13.65kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.mp415.88MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.srt15.77kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.txt10.86kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.mp418.58MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.srt17.15kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.txt11.71kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.mp419.57MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.srt18.15kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.txt12.41kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.mp417.00MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.srt15.36kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.txt10.49kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.mp422.18MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.srt19.36kB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.txt13.27kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.mp436.28MB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.srt31.67kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.txt21.64kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.mp415.83MB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.srt16.14kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.txt11.05kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.mp411.84MB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.srt12.67kB
Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.txt8.67kB
Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.mp46.98MB
Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.srt8.01kB
Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.txt5.47kB
Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.mp419.64MB
Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.srt19.29kB
Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.txt13.21kB
Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.mp413.14MB
Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.srt13.91kB
Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.txt9.54kB
Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.mp423.72MB
Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.srt24.41kB
Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.txt16.65kB
Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.mp415.16MB
Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.srt14.26kB
Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.txt9.78kB
Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.mp428.07MB
Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.srt30.97kB
Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.txt21.16kB
Lectures/Week 8 - 20 Structure Learning/07_Learning_General_Graphs-_Search_and_Decomposability_15-46.mp418.49MB
Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.mp426.07MB
Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.srt25.14kB
Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.txt17.23kB
Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.mp418.94MB
Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.srt20.53kB
Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.txt14.07kB
Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.mp413.51MB
Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.srt13.43kB
Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.txt9.21kB
Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.mp413.30MB
Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.srt15.49kB
Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.txt10.58kB
Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.mp428.00MB
Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.srt25.88kB
Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.txt17.71kB
Lectures/Week 9 - 22 Learning- Wrapup/01_Summary-_Learning_20-11.mp426.94MB
Lectures/Week 9 - 23 Summary/01_Class_Summary_24-38.mp433.78MB
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