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