Coursera Probabilistic Graphical Models | E74F08F0FC699E84A9EB046309727D07D80171C5

Coursera Probabilistic Graphical Models

Name	Coursera - Probabilistic Graphical Models	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	547
Last Seen	2025-07-18 23:35
Hash	E74F08F0FC699E84A9EB046309727D07D80171C5

/Assignments/Assignment 1/
Assignment 1.pdf	282.7 KB
AssignmentToIndex.m	0.6 KB
ComputeJointDistribution.m	1.1 KB
ComputeMarginal.m	1.3 KB
ConvertNetwork.m	3.8 KB
Credit_net.net	4.6 KB
FactorMarginalization.m	1.6 KB
FactorProduct.m	2.3 KB
FactorTutorial.m	6.5 KB
GetValueOfAssignment.m	0.8 KB
IndexToAssignment.m	0.6 KB
ObserveEvidence.m	2.0 KB
SetValueOfAssignment.m	1.2 KB
StandardizeFactors.m	0.6 KB
submit.m	22.9 KB
submitWeb.m	0.8 KB
submit_input.mat	3.2 KB
/Assignments/Assignment 2/
AssignmentToIndex.m	0.6 KB
GetValueOfAssignment.m	0.8 KB
IndexToAssignment.m	0.6 KB
PA2Appendix.pdf	100.5 KB
PA2Description.pdf	1.3 MB
SetValueOfAssignment.m	1.2 KB
childCopyGivenFreqsFactor.m	0.7 KB
childCopyGivenParentalsFactor.m	2.6 KB
computeSigmoid.m	0.4 KB
constructDecoupledGeneticNetwork.m	3.9 KB
constructGeneticNetwork.m	3.1 KB
constructSigmoidPhenotypeFactor.m	2.7 KB
generateAlleleGenotypeMappers.m	2.0 KB
genotypeGivenAlleleFreqsFactor.m	3.1 KB
genotypeGivenParentsGenotypesFactor.m	3.3 KB
phenotypeGivenCopiesFactor.m	3.3 KB
phenotypeGivenGenotypeFactor.m	2.1 KB
phenotypeGivenGenotypeMendelianFactor.m	2.3 KB
sampleFactorList.mat	0.4 KB
sampleFactorListDecoupled.mat	0.4 KB
sampleGeneticNetworks.m	4.3 KB
sendToSamiam.m	7.5 KB
sendToSamiamGeneCopy.m	10.4 KB
sendToSamiamInfo.m	0.9 KB
sendToSamiamInfoDecoupled.m	1.1 KB
spinalMuscularAtrophyBayesNet.net	4.2 KB
submit.m	26.9 KB
submitWeb.m	0.5 KB
/Assignments/Assignment 3/
AssignmentToIndex.m	0.7 KB
BuildOCRNetwork.m	3.4 KB
ChooseTopSimilarityFactors.m	0.8 KB
ComputeAllSimilarityFactors.m	0.7 KB
ComputeEqualPairwiseFactors.m	0.6 KB
ComputeImageFactor.m	0.7 KB
ComputePairwiseFactors.m	0.9 KB
ComputeSimilarityFactor.m	1.0 KB
ComputeSingletonFactors.m	0.8 KB
ComputeTripletFactors.m	1.0 KB
ComputeWordPredictions.m	1.2 KB
GetValueOfAssignment.m	0.8 KB
ImageSimilarity.m	0.7 KB
IndexToAssignment.m	0.6 KB
PA3Data.mat	14.8 KB
PA3Description.pdf	423.2 KB
PA3Models.mat	54.9 KB
PA3SampleCases.mat	76.1 KB
PA3TestCases.mat	5.5 KB
RunInference.m	1.8 KB
ScoreModel.m	1.2 KB
ScorePredictions.m	2.2 KB
SerializeFactorsFg.m	1.2 KB
SetValueOfAssignment.m	0.9 KB
VisualizeWord.m	0.7 KB
submit.m	21.1 KB
submitWeb.m	0.6 KB
/Assignments/Assignment 3/inference/
doinference-linux	2.3 MB
doinference-mac	835.8 KB
doinference.exe	3.4 MB
inference-src.zip	2.2 MB
/Assignments/Assignment 4/
Assignment 4.pdf	431.4 KB
AssignmentToIndex.m	0.6 KB
CliqueTreeCalibrate.m	1.8 KB
ComputeExactMarginalsBP.m	1.0 KB
ComputeInitialPotentials.m	1.6 KB
ComputeJointDistribution.m	1.3 KB
ComputeMarginal.m	1.2 KB
CreateCliqueTree.m	2.2 KB
DecodedMarginalsToChars.m	0.2 KB
EliminateVar.m	1.3 KB
FactorMarginalization.m	1.7 KB
FactorMaxMarginalization.m	1.7 KB
FactorProduct.m	2.4 KB
GetNextCliques.m	1.4 KB
GetValueOfAssignment.m	0.8 KB
IndexToAssignment.m	0.6 KB
MaxDecoding.m	0.8 KB
ObserveEvidence.m	2.2 KB
PA4Sample.mat	220.4 KB
PA4Test.mat	64.5 KB
PruneTree.m	1.8 KB
SetValueOfAssignment.m	1.2 KB
StandardizeFactors.m	0.6 KB
submit.m	28.9 KB
submitWeb.m	0.6 KB
/Assignments/Assignment 5/
Assignment 5.pdf	535.0 KB
AssignmentToIndex.m	0.6 KB
BlockLogDistribution.m	2.9 KB
CheckConvergence.m	1.2 KB
ClusterGraphCalibrate.m	3.4 KB
ComputeApproxMarginalsBP.m	2.3 KB
ComputeInitialPotentials.m	2.2 KB
ConstructRandNetwork.m	1.9 KB
ConstructToyNetwork.m	1.9 KB
CreateClusterGraph.m	1.5 KB
EdgeToFactorCorrespondence.m	0.5 KB
ExtractMarginalsFromSamples.m	1.1 KB
FactorMarginalization.m	1.8 KB
FactorProduct.m	2.4 KB
GetNextClusters.m	1.1 KB
GetValueOfAssignment.m	0.8 KB
GibbsTrans.m	1.0 KB
IndexToAssignment.m	0.6 KB
LogProbOfJointAssignment.m	0.3 KB
MCMCInference.m	5.4 KB
MHGibbsTrans.m	0.6 KB
MHSWTrans.m	3.9 KB
MHUniformTrans.m	0.8 KB
NaiveGetNextClusters.m	1.2 KB
ObserveEvidence.m	2.2 KB
SetValueOfAssignment.m	0.9 KB
SmartGetNextClusters.m	1.4 KB
TestToy.m	1.7 KB
VariableToFactorCorrespondence.m	0.3 KB
VisualizeMCMCMarginals.m	2.6 KB
VisualizeToyImageMarginals.m	0.4 KB
exampleIOPA5.mat	44.7 KB
rand.m	0.4 KB
randi.m	0.8 KB
randsample.m	1.5 KB
smooth.m	0.4 KB
submit.m	37.7 KB
submit_input.mat	7.9 KB
/Assignments/Assignment 5/gaimc/
scomponents.m	2.5 KB
sparse_to_csr.m	2.3 KB
/Assignments/Assignment 6/
Assignment 6.pdf	467.2 KB
AssignmentToIndex.m	0.6 KB
CPDFromFactor.m	0.8 KB
CalculateExpectedUtilityFactor.m	0.9 KB
EliminateVar.m	1.4 KB
FactorMarginalization.m	1.8 KB
FactorProduct.m	2.4 KB
FullI.mat	0.9 KB
GetValueOfAssignment.m	0.8 KB
IndexToAssignment.m	0.6 KB
MultipleUtilityI.mat	0.9 KB
NormalizeCPDFactors.m	0.8 KB
NormalizeFactorValues.m	0.2 KB
ObserveEvidence.m	2.3 KB
OptimizeLinearExpectations.m	1.5 KB
OptimizeMEU.m	1.3 KB
OptimizeWithJointUtility.m	1.1 KB
PrintFactor.m	0.5 KB
SetValueOfAssignment.m	1.2 KB
SimpleCalcExpectedUtility.m	1.1 KB
SimpleOptimizeMEU.m	0.8 KB
TestCases.m	4.9 KB
TestI0.mat	0.9 KB
VariableElimination.m	1.4 KB
submit.m	29.0 KB
submitWeb.m	0.6 KB
/Assignments/Assignment 7/
AssignmentToIndex.m	0.6 KB
CliqueTreeCalibrate.m	5.0 KB
ComputeConditionedSingletonFeatures.m	1.0 KB
ComputeExactMarginalsBP.m	2.3 KB
ComputeInitialPotentials.m	3.6 KB
ComputeJointDistribution.m	0.9 KB
ComputeMarginal.m	1.0 KB
ComputeUnconditionedPairFeatures.m	0.7 KB
ComputeUnconditionedSingletonFeatures.m	0.6 KB
CreateCliqueTree.m	2.1 KB
EliminateVar.m	1.3 KB
EmptyFactorStruct.m	0.2 KB
EmptyFeatureStruct.m	0.2 KB
FactorMarginalization.m	1.6 KB
FactorMaxMarginalization.m	1.7 KB
FactorProduct.m	2.2 KB
FactorSum.m	2.2 KB
GenerateAllFeatures.m	2.5 KB
GetNextCliques.m	1.7 KB
GetValueOfAssignment.m	0.8 KB
IndexToAssignment.m	0.6 KB
InstanceNegLogLikelihood.m	3.0 KB
LRAccuracy.m	0.7 KB
LRCostSGD.m	1.5 KB
LRPredict.m	0.5 KB
LRSearchLambdaSGD.m	1.1 KB
LRTrainSGD.m	1.4 KB
MaxDecoding.m	0.7 KB
NumParamsForConditionedFeatures.m	0.3 KB
NumParamsForUnconditionedFeatures.m	0.2 KB
ObserveEvidence.m	1.9 KB
PA7Description.pdf	498.8 KB
Part1Lambdas.mat	0.2 KB
Part2FullDataset.mat	7.4 KB
Part2LogZTest.mat	8.7 KB
Part2Sample.mat	86.7 KB
Part2Test.mat	18.6 KB
PruneTree.m	1.9 KB
SetValueOfAssignment.m	0.9 KB
StochasticGradientDescent.m	1.5 KB
Test1X.mat	1.7 KB
Test1Y.mat	0.2 KB
Train1X.mat	3.9 KB
Train1Y.mat	0.2 KB
Train2X.mat	3.9 KB
Train2Y.mat	0.2 KB
Validation1X.mat	3.8 KB
Validation1Y.mat	0.2 KB
Validation2X.mat	3.8 KB
Validation2Y.mat	0.2 KB
ValidationAccuracy.mat	0.3 KB
VisualizeCharacters.m	0.9 KB
sigmoid.m	0.2 KB
submit.m	21.0 KB
submitWeb.m	0.6 KB
/Assignments/Assignment 8/
ClassifyDataset.m	0.8 KB
ComputeLogLikelihood.m	1.1 KB
ConvertAtoG.m	0.5 KB
FitGaussianParameters.m	0.3 KB
FitLinearGaussianParameters.m	1.3 KB
GaussianMutualInformation.m	0.4 KB
LearnCPDsGivenGraph.m	1.0 KB
LearnGraphAndCPDs.m	1.0 KB
LearnGraphStructure.m	0.7 KB
MaxSpanningTree.m	2.1 KB
PA8Data.mat	196.0 KB
PA8Description.pdf	387.3 KB
PA8SampleCases.mat	294.6 KB
SampleGaussian.m	0.2 KB
SampleMultinomial.m	0.3 KB
SamplePose.m	3.3 KB
ShowPose.m	1.4 KB
VisualizeDataset.m	0.3 KB
VisualizeModels.m	0.6 KB
func_DrawLine.m	3.0 KB
lognormpdf.m	0.2 KB
submit.m	24.5 KB
submitWeb.m	0.6 KB
submit_input.mat	464.0 KB
/Assignments/Assignment 9/
AssignmentToIndex.m	0.6 KB
CliqueTreeCalibrate.m	3.2 KB
ComputeExactMarginalsHMM.m	1.6 KB
CreateCliqueTreeHMM.m	2.4 KB
EM_HMM.m	4.7 KB
EM_cluster.m	3.3 KB
FactorMarginalization.m	0.8 KB
FitG.m	0.4 KB
FitLG.m	1.6 KB
IndexToAssignment.m	0.6 KB
PA9Data.mat	2.7 MB
PA9Description.pdf	1.0 MB
PA9SampleCases.mat	1.1 MB
RecognizeActions.m	1.4 KB
RecognizeUnknownActions.m	0.3 KB
SavePredictions.m	0.6 KB
ShowPose.m	1.4 KB
VisualizeDataset.m	0.2 KB
YourMethod.txt	0.1 KB
func_DrawLine.m	3.0 KB
lognormpdf.m	0.6 KB
logsumexp.m	0.3 KB
submit.m	22.6 KB
submitWeb.m	0.6 KB
submit_input.mat	861.7 KB
/.../Week 1 - 01 Introduction and Overview/
01_Welcome_05-35.mp4	7.5 MB
01_Welcome_05-35.srt	10.3 KB
01_Welcome_05-35.txt	6.2 KB
02_Overview_and_Motivation_19-17.mp4	24.1 MB
02_Overview_and_Motivation_19-17.srt	25.3 KB
02_Overview_and_Motivation_19-17.txt	17.2 KB
03_Distributions_04-56.mp4	6.1 MB
03_Distributions_04-56.srt	7.1 KB
03_Distributions_04-56.txt	4.8 KB
04_Factors_06-40.mp4	7.7 MB
04_Factors_06-40.srt	8.7 KB
04_Factors_06-40.txt	6.0 KB
/.../Week 1 - 02 Bayesian Network Fundamentals/
01_Semantics__Factorization_17-20.mp4	20.5 MB
01_Semantics__Factorization_17-20.srt	21.6 KB
01_Semantics__Factorization_17-20.txt	14.8 KB
02_Reasoning_Patterns_09-59.mp4	11.3 MB
02_Reasoning_Patterns_09-59.srt	12.2 KB
02_Reasoning_Patterns_09-59.txt	8.3 KB
03_Flow_of_Probabilistic_Influence_14-36.mp4	16.2 MB
03_Flow_of_Probabilistic_Influence_14-36.srt	15.8 KB
03_Flow_of_Probabilistic_Influence_14-36.txt	10.9 KB
04_Conditional_Independence_12-38.mp4	16.3 MB
04_Conditional_Independence_12-38.srt	15.3 KB
04_Conditional_Independence_12-38.txt	10.5 KB
05_Independencies_in_Bayesian_Networks_18-18.mp4	22.6 MB
05_Independencies_in_Bayesian_Networks_18-18.srt	23.5 KB
05_Independencies_in_Bayesian_Networks_18-18.txt	16.0 KB
06_Naive_Bayes_09-52.mp4	11.1 MB
06_Naive_Bayes_09-52.srt	11.4 KB
06_Naive_Bayes_09-52.txt	7.8 KB
07_Application_-_Medical_Diagnosis_09-19.mp4	12.1 MB
07_Application_-_Medical_Diagnosis_09-19.srt	12.4 KB
07_Application_-_Medical_Diagnosis_09-19.txt	8.5 KB
08_Knowledge_Engineering_Example_-_SAMIAM_14-14.mp4	13.4 MB
08_Knowledge_Engineering_Example_-_SAMIAM_14-14.srt	23.6 KB
08_Knowledge_Engineering_Example_-_SAMIAM_14-14.txt	12.8 KB
/.../Week 1 - 03 Template Models/
01_Overview_of_Template_Models_10-55.mp4	12.1 MB
01_Overview_of_Template_Models_10-55.srt	13.0 KB
01_Overview_of_Template_Models_10-55.txt	8.9 KB
02_Temporal_Models_-_DBNs_23-02.mp4	27.3 MB
02_Temporal_Models_-_DBNs_23-02.srt	27.0 KB
02_Temporal_Models_-_DBNs_23-02.txt	18.5 KB
03_Temporal_Models_-_HMMs_12-01.mp4	14.2 MB
03_Temporal_Models_-_HMMs_12-01.srt	15.5 KB
03_Temporal_Models_-_HMMs_12-01.txt	10.6 KB
04_Plate_Models_20-08.mp4	23.6 MB
04_Plate_Models_20-08.srt	24.0 KB
04_Plate_Models_20-08.txt	16.4 KB
/.../Week 1 - 04 ML-class Octave Tutorial/
01_Basic_Operations_13-59.mp4	18.6 MB
01_Basic_Operations_13-59.srt	16.8 KB
01_Basic_Operations_13-59.txt	11.5 KB
02_Moving_Data_Around_16-07.mp4	21.8 MB
02_Moving_Data_Around_16-07.srt	19.0 KB
02_Moving_Data_Around_16-07.txt	13.0 KB
03_Computing_On_Data_13-15.mp4	16.0 MB
03_Computing_On_Data_13-15.srt	16.3 KB
03_Computing_On_Data_13-15.txt	11.2 KB
04_Plotting_Data_09-38.mp4	14.0 MB
04_Plotting_Data_09-38.srt	11.5 KB
04_Plotting_Data_09-38.txt	7.9 KB
05_Control_Statements-_for_while_if_statements_12-55.mp4	17.3 MB
05_Control_Statements-_for_while_if_statements_12-55.srt	15.5 KB
05_Control_Statements-_for_while_if_statements_12-55.txt	10.6 KB
06_Vectorization_13-48.mp4	16.9 MB
06_Vectorization_13-48.srt	17.1 KB
06_Vectorization_13-48.txt	11.7 KB
07_Working_on_and_Submitting_Programming_Exercises_03-33.mp4	5.7 MB
07_Working_on_and_Submitting_Programming_Exercises_03-33.srt	4.6 KB
07_Working_on_and_Submitting_Programming_Exercises_03-33.txt	3.2 KB
/.../Week 2 - 05 Structured CPDs/
01_Overview-_Structured_CPDs_08-00.mp4	10.1 MB
01_Overview-_Structured_CPDs_08-00.srt	10.2 KB
01_Overview-_Structured_CPDs_08-00.txt	7.0 KB
02_Tree-Structured_CPDs_14-37.mp4	16.8 MB
02_Tree-Structured_CPDs_14-37.srt	17.2 KB
02_Tree-Structured_CPDs_14-37.txt	11.8 KB
03_Independence_of_Causal_Influence_13-08.mp4	16.6 MB
03_Independence_of_Causal_Influence_13-08.srt	14.2 KB
03_Independence_of_Causal_Influence_13-08.txt	9.7 KB
04_Continuous_Variables_13-25.mp4	16.1 MB
04_Continuous_Variables_13-25.srt	14.9 KB
04_Continuous_Variables_13-25.txt	10.2 KB
/.../Week 2 - 06 Markov Network Fundamentals/
01_Pairwise_Markov_Networks_10-59.mp4	13.2 MB
01_Pairwise_Markov_Networks_10-59.srt	13.8 KB
01_Pairwise_Markov_Networks_10-59.txt	9.5 KB
02_General_Gibbs_Distribution_15-52.mp4	19.8 MB
02_General_Gibbs_Distribution_15-52.srt	16.6 KB
02_General_Gibbs_Distribution_15-52.txt	11.3 KB
03_Conditional_Random_Fields_22-22.mp4	26.3 MB
03_Conditional_Random_Fields_22-22.srt	24.0 KB
03_Conditional_Random_Fields_22-22.txt	16.4 KB
04_Independencies_in_Markov_Networks_04-48.mp4	6.1 MB
04_Independencies_in_Markov_Networks_04-48.srt	5.5 KB
04_Independencies_in_Markov_Networks_04-48.txt	3.8 KB
05_I-maps_and_perfect_maps_20-59.mp4	23.5 MB
05_I-maps_and_perfect_maps_20-59.srt	22.9 KB
05_I-maps_and_perfect_maps_20-59.txt	15.6 KB
06_Log-Linear_Models_22-08.mp4	27.0 MB
06_Log-Linear_Models_22-08.srt	27.4 KB
06_Log-Linear_Models_22-08.txt	17.0 KB
07_Shared_Features_in_Log-Linear_Models_08-28.mp4	10.5 MB
07_Shared_Features_in_Log-Linear_Models_08-28.srt	9.2 KB
07_Shared_Features_in_Log-Linear_Models_08-28.txt	6.4 KB
/.../Week 3 - 07 Representation Wrapup-Knowledge Engineering/
01_Knowledge_Engineering_23-05.mp4	25.8 MB
01_Knowledge_Engineering_23-05.srt	28.9 KB
01_Knowledge_Engineering_23-05.txt	18.7 KB
/.../Week 3 - 08 Inference-Variable Elimination/
01_Overview-_Conditional_Probability_Queries_15-22.mp4	9.5 MB
01_Overview-_Conditional_Probability_Queries_15-22.srt	17.9 KB
01_Overview-_Conditional_Probability_Queries_15-22.txt	12.2 KB
02_Overview-_MAP_Inference_09-42.mp4	6.2 MB
02_Overview-_MAP_Inference_09-42.srt	11.4 KB
02_Overview-_MAP_Inference_09-42.txt	7.9 KB
03_Variable_Elimination_Algorithm_16-17.mp4	11.6 MB
03_Variable_Elimination_Algorithm_16-17.srt	17.9 KB
03_Variable_Elimination_Algorithm_16-17.txt	12.3 KB
04_Complexity_of_Variable_Elimination_12-48.mp4	15.4 MB
04_Complexity_of_Variable_Elimination_12-48.srt	13.2 KB
04_Complexity_of_Variable_Elimination_12-48.txt	9.1 KB
05_Graph-Based_Perspective_on_Variable_Elimination_15-25.mp4	10.0 MB
05_Graph-Based_Perspective_on_Variable_Elimination_15-25.srt	15.2 KB
05_Graph-Based_Perspective_on_Variable_Elimination_15-25.txt	10.4 KB
06_Finding_Elimination_Orderings_11-58.mp4	9.2 MB
06_Finding_Elimination_Orderings_11-58.srt	14.4 KB
06_Finding_Elimination_Orderings_11-58.txt	9.9 KB
/.../Week 3 - 09 Inference-Belief Propagation Part 1/
01_Belief_Propagation_21-21.mp4	13.9 MB
01_Belief_Propagation_21-21.srt	24.4 KB
01_Belief_Propagation_21-21.txt	16.7 KB
02_Properties_of_Cluster_Graphs_15-00.mp4	10.2 MB
02_Properties_of_Cluster_Graphs_15-00.srt	16.9 KB
02_Properties_of_Cluster_Graphs_15-00.txt	11.6 KB
/.../Week 4 - 10 Inference-Belief Propagation Part 2/
01_Properties_of_Belief_Propagation_9-31.mp4	6.0 MB
01_Properties_of_Belief_Propagation_9-31.srt	10.7 KB
01_Properties_of_Belief_Propagation_9-31.txt	7.3 KB
02_Clique_Tree_Algorithm_-_Correctness_18-23.mp4	11.0 MB
02_Clique_Tree_Algorithm_-_Correctness_18-23.srt	20.6 KB
02_Clique_Tree_Algorithm_-_Correctness_18-23.txt	14.0 KB
03_Clique_Tree_Algorithm_-_Computation_16-18.mp4	9.1 MB
03_Clique_Tree_Algorithm_-_Computation_16-18.srt	16.5 KB
03_Clique_Tree_Algorithm_-_Computation_16-18.txt	11.3 KB
04_Clique_Trees_and_Independence_15-21.mp4	10.0 MB
04_Clique_Trees_and_Independence_15-21.srt	17.3 KB
04_Clique_Trees_and_Independence_15-21.txt	11.9 KB
05_Clique_Trees_and_VE_16-17.mp4	11.1 MB
05_Clique_Trees_and_VE_16-17.srt	18.1 KB
05_Clique_Trees_and_VE_16-17.txt	12.4 KB
06_BP_In_Practice_15-38.mp4	9.6 MB
06_BP_In_Practice_15-38.srt	17.7 KB
06_BP_In_Practice_15-38.txt	12.1 KB
07_Loopy_BP_and_Message_Decoding_21-42.mp4	13.8 MB
07_Loopy_BP_and_Message_Decoding_21-42.srt	27.2 KB
07_Loopy_BP_and_Message_Decoding_21-42.txt	18.6 KB
/.../Week 4 - 11 Inference-MAP Estimation Part 1/
01_Max_Sum_Message_Passing_20-27.mp4	13.3 MB
01_Max_Sum_Message_Passing_20-27.srt	22.8 KB
01_Max_Sum_Message_Passing_20-27.txt	15.6 KB
02_Finding_a_MAP_Assignment_3-57.mp4	2.8 MB
02_Finding_a_MAP_Assignment_3-57.srt	5.2 KB
02_Finding_a_MAP_Assignment_3-57.txt	3.6 KB
/.../Week 5 - 12 Inference- MAP Estimation Part 2/
01_Tractable_MAP_Problems_15-04.mp4	10.2 MB
01_Tractable_MAP_Problems_15-04.srt	19.4 KB
01_Tractable_MAP_Problems_15-04.txt	13.2 KB
02_Dual_Decomposition_-_Intuition_17-46.mp4	11.7 MB
02_Dual_Decomposition_-_Intuition_17-46.srt	20.0 KB
02_Dual_Decomposition_-_Intuition_17-46.txt	13.8 KB
03_Dual_Decomposition_-_Algorithm_16-16.mp4	10.2 MB
03_Dual_Decomposition_-_Algorithm_16-16.srt	18.9 KB
03_Dual_Decomposition_-_Algorithm_16-16.txt	12.9 KB
/.../Week 5 - 13 Inference- Sampling Methods/
01_Simple_Sampling_23-37.mp4	14.4 MB
01_Simple_Sampling_23-37.srt	26.8 KB
01_Simple_Sampling_23-37.txt	18.4 KB
02_Markov_Chain_Monte_Carlo_14-18.mp4	9.7 MB
02_Markov_Chain_Monte_Carlo_14-18.srt	17.4 KB
02_Markov_Chain_Monte_Carlo_14-18.txt	11.9 KB
03_Using_a_Markov_Chain_15-27.mp4	10.0 MB
03_Using_a_Markov_Chain_15-27.srt	18.3 KB
03_Using_a_Markov_Chain_15-27.txt	12.5 KB
04_Gibbs_Sampling_19-26.mp4	13.1 MB
04_Gibbs_Sampling_19-26.srt	20.0 KB
04_Gibbs_Sampling_19-26.txt	13.7 KB
05_Metropolis_Hastings_Algorithm_27-06.mp4	17.7 MB
05_Metropolis_Hastings_Algorithm_27-06.srt	33.2 KB
05_Metropolis_Hastings_Algorithm_27-06.txt	22.7 KB
/.../Week 6 - 14 Inference- Temporal Models and Wrap-up/
01_Inference_in_Temporal_Models_19-43.mp4	24.4 MB
01_Inference_in_Temporal_Models_19-43.srt	25.3 KB
01_Inference_in_Temporal_Models_19-43.txt	17.3 KB
02_Inference-_Summary_12-45.mp4	14.8 MB
02_Inference-_Summary_12-45.srt	16.7 KB
02_Inference-_Summary_12-45.txt	11.4 KB
/.../Week 6 - 15 Decision Theory/
01_Maximum_Expected_Utility_25-57.mp4	30.4 MB
01_Maximum_Expected_Utility_25-57.srt	30.6 KB
01_Maximum_Expected_Utility_25-57.txt	20.9 KB
02_Utility_Functions_18-15.mp4	20.6 MB
02_Utility_Functions_18-15.srt	21.5 KB
02_Utility_Functions_18-15.txt	14.7 KB
03_Value_of_Perfect_Information_17-14.mp4	20.2 MB
03_Value_of_Perfect_Information_17-14.srt	22.2 KB
03_Value_of_Perfect_Information_17-14.txt	15.3 KB
/.../Week 6 - 16 ML-class Revision/
01_Regularization-_The_Problem_of_Overfitting_09-42.mp4	11.7 MB
01_Regularization-_The_Problem_of_Overfitting_09-42.srt	13.2 KB
01_Regularization-_The_Problem_of_Overfitting_09-42.txt	9.0 KB
02_Regularization-_Cost_Function_10-10.mp4	12.2 MB
02_Regularization-_Cost_Function_10-10.srt	13.1 KB
02_Regularization-_Cost_Function_10-10.txt	8.8 KB
03_Evaluating_a_Hypothesis_07-35.mp4	8.9 MB
03_Evaluating_a_Hypothesis_07-35.srt	9.3 KB
03_Evaluating_a_Hypothesis_07-35.txt	6.4 KB
04_Model_Selection_and_Train_Validation_Test_Sets_12-03.mp4	14.8 MB
04_Model_Selection_and_Train_Validation_Test_Sets_12-03.srt	16.4 KB
04_Model_Selection_and_Train_Validation_Test_Sets_12-03.txt	11.2 KB
05_Diagnosing_Bias_vs_Variance_07-42.mp4	9.4 MB
05_Diagnosing_Bias_vs_Variance_07-42.srt	10.7 KB
05_Diagnosing_Bias_vs_Variance_07-42.txt	7.3 KB
06_Regularization_and_Bias_Variance_11-20.mp4	13.2 MB
06_Regularization_and_Bias_Variance_11-20.srt	15.2 KB
06_Regularization_and_Bias_Variance_11-20.txt	10.4 KB
/.../Week 6 - 17 Learning-Overview/
01_Learning-_Overview_15-35.mp4	18.4 MB
01_Learning-_Overview_15-35.srt	20.0 KB
01_Learning-_Overview_15-35.txt	13.6 KB
/.../Week 7 - 18 Learning- Parameter Estimation in BNs/
01_Maximum_Likelihood_Estimation_14-59.mp4	15.9 MB
01_Maximum_Likelihood_Estimation_14-59.srt	15.8 KB
01_Maximum_Likelihood_Estimation_14-59.txt	10.9 KB
02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.mp4	18.6 MB
02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.srt	17.1 KB
02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.txt	11.7 KB
03_Bayesian_Estimation_15-27.mp4	19.6 MB
03_Bayesian_Estimation_15-27.srt	18.2 KB
03_Bayesian_Estimation_15-27.txt	12.4 KB
04_Bayesian_Prediction_13-40.mp4	17.0 MB
04_Bayesian_Prediction_13-40.srt	15.4 KB
04_Bayesian_Prediction_13-40.txt	10.5 KB
05_Bayesian_Estimation_for_Bayesian_Networks_17-02.mp4	22.2 MB
05_Bayesian_Estimation_for_Bayesian_Networks_17-02.srt	19.4 KB
05_Bayesian_Estimation_for_Bayesian_Networks_17-02.txt	13.3 KB
/.../Week 7 - 19 Learning- Parameter Estimation in MNs/
01_Maximum_Likelihood_for_Log-Linear_Models_28-47.mp4	36.3 MB
01_Maximum_Likelihood_for_Log-Linear_Models_28-47.srt	31.7 KB
01_Maximum_Likelihood_for_Log-Linear_Models_28-47.txt	21.6 KB
02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.mp4	15.8 MB
02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.srt	16.1 KB
02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.txt	11.0 KB
03_MAP_Estimation_for_MRFs_and_CRFs_9-59.mp4	11.8 MB
03_MAP_Estimation_for_MRFs_and_CRFs_9-59.srt	12.7 KB
03_MAP_Estimation_for_MRFs_and_CRFs_9-59.txt	8.7 KB
/.../Week 8 - 20 Structure Learning/
01_Structure_Learning_Overview_5-49.mp4	7.0 MB
01_Structure_Learning_Overview_5-49.srt	8.0 KB
01_Structure_Learning_Overview_5-49.txt	5.5 KB
02_Likelihood_Scores_16-49.mp4	19.6 MB
02_Likelihood_Scores_16-49.srt	19.3 KB
02_Likelihood_Scores_16-49.txt	13.2 KB
03_BIC_and_Asymptotic_Consistency_11-26.mp4	13.1 MB
03_BIC_and_Asymptotic_Consistency_11-26.srt	13.9 KB
03_BIC_and_Asymptotic_Consistency_11-26.txt	9.5 KB
04_Bayesian_Scores_20-35.mp4	23.7 MB
04_Bayesian_Scores_20-35.srt	24.4 KB
04_Bayesian_Scores_20-35.txt	16.7 KB
05_Learning_Tree_Structured_Networks_12-05.mp4	15.2 MB
05_Learning_Tree_Structured_Networks_12-05.srt	14.3 KB
05_Learning_Tree_Structured_Networks_12-05.txt	9.8 KB
06_Learning_General_Graphs-_Heuristic_Search_23-36.mp4	28.1 MB
06_Learning_General_Graphs-_Heuristic_Search_23-36.srt	31.0 KB
06_Learning_General_Graphs-_Heuristic_Search_23-36.txt	21.2 KB
07_Learning_General_Graphs-_Search_and_Decomposability_15-46.mp4	18.5 MB
/.../Week 9 - 21 Learning With Incomplete Data/
01_Learning_With_Incomplete_Data_-_Overview_21-34.mp4	26.1 MB
01_Learning_With_Incomplete_Data_-_Overview_21-34.srt	25.1 KB
01_Learning_With_Incomplete_Data_-_Overview_21-34.txt	17.2 KB
02_Expectation_Maximization_-_Intro_16-17.mp4	18.9 MB
02_Expectation_Maximization_-_Intro_16-17.srt	20.5 KB
02_Expectation_Maximization_-_Intro_16-17.txt	14.1 KB
03_Analysis_of_EM_Algorithm_11-32.mp4	13.5 MB
03_Analysis_of_EM_Algorithm_11-32.srt	13.4 KB
03_Analysis_of_EM_Algorithm_11-32.txt	9.2 KB
04_EM_in_Practice_11-17.mp4	13.3 MB
04_EM_in_Practice_11-17.srt	15.5 KB
04_EM_in_Practice_11-17.txt	10.6 KB
05_Latent_Variables_22-00.mp4	28.0 MB
05_Latent_Variables_22-00.srt	25.9 KB
05_Latent_Variables_22-00.txt	17.7 KB
/.../Week 9 - 22 Learning- Wrapup/
01_Summary-_Learning_20-11.mp4	26.9 MB
/.../Week 9 - 23 Summary/
01_Class_Summary_24-38.mp4	33.8 MB
Total files 547