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| Lectures/Week 1 - 02 Bayesian Network Fundamentals/08_Knowledge_Engineering_Example_-_SAMIAM_14-14.txt |
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| Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.mp4 |
12.13MB |
| Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.srt |
12.99kB |
| Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.txt |
8.88kB |
| Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.mp4 |
27.33MB |
| Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.srt |
26.97kB |
| Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.txt |
18.45kB |
| Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.mp4 |
14.24MB |
| Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.srt |
15.47kB |
| Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.txt |
10.57kB |
| Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.mp4 |
23.57MB |
| Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.srt |
24.04kB |
| Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.txt |
16.40kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.mp4 |
18.58MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.srt |
16.80kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.txt |
11.51kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.mp4 |
21.78MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.srt |
19.02kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.txt |
13.05kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.mp4 |
15.99MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.srt |
16.30kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.txt |
11.20kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.mp4 |
13.97MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.srt |
11.49kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.txt |
7.91kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.mp4 |
17.29MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.srt |
15.45kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.txt |
10.62kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.mp4 |
16.87MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.srt |
17.06kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.txt |
11.70kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.mp4 |
5.73MB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.srt |
4.63kB |
| Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.txt |
3.19kB |
| Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.mp4 |
10.12MB |
| Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.srt |
10.22kB |
| Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.txt |
6.98kB |
| Lectures/Week 2 - 05 Structured CPDs/02_Tree-Structured_CPDs_14-37.mp4 |
16.81MB |
| Lectures/Week 2 - 05 Structured CPDs/02_Tree-Structured_CPDs_14-37.srt |
17.21kB |
| Lectures/Week 2 - 05 Structured CPDs/02_Tree-Structured_CPDs_14-37.txt |
11.77kB |
| Lectures/Week 2 - 05 Structured CPDs/03_Independence_of_Causal_Influence_13-08.mp4 |
16.62MB |
| Lectures/Week 2 - 05 Structured CPDs/03_Independence_of_Causal_Influence_13-08.srt |
14.23kB |
| Lectures/Week 2 - 05 Structured CPDs/03_Independence_of_Causal_Influence_13-08.txt |
9.74kB |
| Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.mp4 |
16.07MB |
| Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.srt |
14.90kB |
| Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.txt |
10.18kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.mp4 |
13.16MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.srt |
13.82kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.txt |
9.48kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.mp4 |
19.85MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.srt |
16.60kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.txt |
11.31kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.mp4 |
26.27MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.srt |
23.96kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.txt |
16.39kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.mp4 |
6.12MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.srt |
5.49kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/04_Independencies_in_Markov_Networks_04-48.txt |
3.76kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.mp4 |
23.48MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.srt |
22.86kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.txt |
15.56kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.mp4 |
27.01MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.srt |
27.39kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.txt |
16.98kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.mp4 |
10.50MB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.srt |
9.24kB |
| Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.txt |
6.37kB |
| Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.mp4 |
25.84MB |
| Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.srt |
28.87kB |
| Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.txt |
18.72kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.mp4 |
9.45MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.srt |
17.86kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.txt |
12.19kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.mp4 |
6.16MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.srt |
11.43kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/02_Overview-_MAP_Inference_09-42.txt |
7.86kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.mp4 |
11.64MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.srt |
17.93kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/03_Variable_Elimination_Algorithm_16-17.txt |
12.26kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.mp4 |
15.42MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.srt |
13.16kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.txt |
9.06kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.mp4 |
10.01MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.srt |
15.17kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/05_Graph-Based_Perspective_on_Variable_Elimination_15-25.txt |
10.38kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.mp4 |
9.20MB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.srt |
14.44kB |
| Lectures/Week 3 - 08 Inference-Variable Elimination/06_Finding_Elimination_Orderings_11-58.txt |
9.91kB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.mp4 |
13.90MB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.srt |
24.41kB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.txt |
16.69kB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.mp4 |
10.20MB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.srt |
16.90kB |
| Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.txt |
11.58kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.mp4 |
6.03MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.srt |
10.70kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.txt |
7.34kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.mp4 |
10.99MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.srt |
20.57kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/02_Clique_Tree_Algorithm_-_Correctness_18-23.txt |
14.03kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.mp4 |
9.14MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.srt |
16.48kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/03_Clique_Tree_Algorithm_-_Computation_16-18.txt |
11.27kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.mp4 |
9.99MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.srt |
17.33kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/04_Clique_Trees_and_Independence_15-21.txt |
11.86kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.mp4 |
11.07MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.srt |
18.12kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/05_Clique_Trees_and_VE_16-17.txt |
12.42kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.mp4 |
9.65MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.srt |
17.71kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/06_BP_In_Practice_15-38.txt |
12.12kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.mp4 |
13.79MB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.srt |
27.17kB |
| Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/07_Loopy_BP_and_Message_Decoding_21-42.txt |
18.58kB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.mp4 |
13.26MB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.srt |
22.79kB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.txt |
15.61kB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.mp4 |
2.80MB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.srt |
5.24kB |
| Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/02_Finding_a_MAP_Assignment_3-57.txt |
3.58kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.mp4 |
10.16MB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.srt |
19.39kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.txt |
13.23kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.mp4 |
11.74MB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.srt |
20.04kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.txt |
13.77kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.mp4 |
10.21MB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.srt |
18.89kB |
| Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/03_Dual_Decomposition_-_Algorithm_16-16.txt |
12.92kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.mp4 |
14.45MB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.srt |
26.84kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.txt |
18.36kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.mp4 |
9.66MB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.srt |
17.41kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.txt |
11.90kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.mp4 |
9.99MB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.srt |
18.31kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/03_Using_a_Markov_Chain_15-27.txt |
12.53kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.mp4 |
13.11MB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.srt |
20.03kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.txt |
13.72kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.mp4 |
17.73MB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.srt |
33.24kB |
| Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.txt |
22.71kB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.mp4 |
24.44MB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.srt |
25.35kB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.txt |
17.33kB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.mp4 |
14.84MB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.srt |
16.75kB |
| Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.txt |
11.42kB |
| Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.mp4 |
30.40MB |
| Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.srt |
30.57kB |
| Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.txt |
20.87kB |
| Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.mp4 |
20.64MB |
| Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.srt |
21.52kB |
| Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.txt |
14.71kB |
| Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.mp4 |
20.22MB |
| Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.srt |
22.16kB |
| Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.txt |
15.31kB |
| Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.mp4 |
11.69MB |
| Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.srt |
13.22kB |
| Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.txt |
9.00kB |
| Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.mp4 |
12.19MB |
| Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.srt |
13.10kB |
| Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.txt |
8.76kB |
| Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.mp4 |
8.90MB |
| Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.srt |
9.32kB |
| Lectures/Week 6 - 16 ML-class Revision/03_Evaluating_a_Hypothesis_07-35.txt |
6.41kB |
| Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.mp4 |
14.75MB |
| Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.srt |
16.42kB |
| Lectures/Week 6 - 16 ML-class Revision/04_Model_Selection_and_Train_Validation_Test_Sets_12-03.txt |
11.24kB |
| Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.mp4 |
9.41MB |
| Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.srt |
10.69kB |
| Lectures/Week 6 - 16 ML-class Revision/05_Diagnosing_Bias_vs_Variance_07-42.txt |
7.34kB |
| Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.mp4 |
13.21MB |
| Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.srt |
15.19kB |
| Lectures/Week 6 - 16 ML-class Revision/06_Regularization_and_Bias_Variance_11-20.txt |
10.40kB |
| Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.mp4 |
18.36MB |
| Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.srt |
19.96kB |
| Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.txt |
13.65kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.mp4 |
15.88MB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.srt |
15.77kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.txt |
10.86kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.mp4 |
18.58MB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.srt |
17.15kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.txt |
11.71kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.mp4 |
19.57MB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.srt |
18.15kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/03_Bayesian_Estimation_15-27.txt |
12.41kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.mp4 |
17.00MB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.srt |
15.36kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.txt |
10.49kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.mp4 |
22.18MB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.srt |
19.36kB |
| Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.txt |
13.27kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.mp4 |
36.28MB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.srt |
31.67kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.txt |
21.64kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.mp4 |
15.83MB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.srt |
16.14kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.txt |
11.05kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.mp4 |
11.84MB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.srt |
12.67kB |
| Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.txt |
8.67kB |
| Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.mp4 |
6.98MB |
| Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.srt |
8.01kB |
| Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.txt |
5.47kB |
| Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.mp4 |
19.64MB |
| Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.srt |
19.29kB |
| Lectures/Week 8 - 20 Structure Learning/02_Likelihood_Scores_16-49.txt |
13.21kB |
| Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.mp4 |
13.14MB |
| Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.srt |
13.91kB |
| Lectures/Week 8 - 20 Structure Learning/03_BIC_and_Asymptotic_Consistency_11-26.txt |
9.54kB |
| Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.mp4 |
23.72MB |
| Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.srt |
24.41kB |
| Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.txt |
16.65kB |
| Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.mp4 |
15.16MB |
| Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.srt |
14.26kB |
| Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.txt |
9.78kB |
| Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.mp4 |
28.07MB |
| Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.srt |
30.97kB |
| Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.txt |
21.16kB |
| Lectures/Week 8 - 20 Structure Learning/07_Learning_General_Graphs-_Search_and_Decomposability_15-46.mp4 |
18.49MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.mp4 |
26.07MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.srt |
25.14kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.txt |
17.23kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.mp4 |
18.94MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.srt |
20.53kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.txt |
14.07kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.mp4 |
13.51MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.srt |
13.43kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.txt |
9.21kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.mp4 |
13.30MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.srt |
15.49kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.txt |
10.58kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.mp4 |
28.00MB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.srt |
25.88kB |
| Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.txt |
17.71kB |
| Lectures/Week 9 - 22 Learning- Wrapup/01_Summary-_Learning_20-11.mp4 |
26.94MB |
| Lectures/Week 9 - 23 Summary/01_Class_Summary_24-38.mp4 |
33.78MB |
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