Coursera - Probabilistic Graphical Models

File Name

Size

Assignments/Assignment 1/Assignment 1.pdf

276 kB

Assignments/Assignment 1/AssignmentToIndex.m

601 B

Assignments/Assignment 1/ComputeJointDistribution.m

1.1 kB

Assignments/Assignment 1/ComputeMarginal.m

1.2 kB

Assignments/Assignment 1/ConvertNetwork.m

3.8 kB

Assignments/Assignment 1/Credit_net.net

4.5 kB

Assignments/Assignment 1/FactorMarginalization.m

1.6 kB

Assignments/Assignment 1/FactorProduct.m

2.3 kB

Assignments/Assignment 1/FactorTutorial.m

6.3 kB

Assignments/Assignment 1/GetValueOfAssignment.m

806 B

Assignments/Assignment 1/IndexToAssignment.m

599 B

Assignments/Assignment 1/ObserveEvidence.m

1.9 kB

Assignments/Assignment 1/SetValueOfAssignment.m

1.1 kB

Assignments/Assignment 1/StandardizeFactors.m

581 B

Assignments/Assignment 1/submit.m

22 kB

Assignments/Assignment 1/submitWeb.m

829 B

Assignments/Assignment 1/submit_input.mat

3.1 kB

Assignments/Assignment 2/AssignmentToIndex.m

600 B

Assignments/Assignment 2/GetValueOfAssignment.m

805 B

Assignments/Assignment 2/IndexToAssignment.m

598 B

Assignments/Assignment 2/PA2Appendix.pdf

98 kB

Assignments/Assignment 2/PA2Description.pdf

1.3 MB

Assignments/Assignment 2/SetValueOfAssignment.m

1.1 kB

Assignments/Assignment 2/childCopyGivenFreqsFactor.m

686 B

Assignments/Assignment 2/childCopyGivenParentalsFactor.m

2.6 kB

Assignments/Assignment 2/computeSigmoid.m

375 B

Assignments/Assignment 2/constructDecoupledGeneticNetwork.m

3.8 kB

Assignments/Assignment 2/constructGeneticNetwork.m

3.0 kB

Assignments/Assignment 2/constructSigmoidPhenotypeFactor.m

2.7 kB

Assignments/Assignment 2/generateAlleleGenotypeMappers.m

2.0 kB

Assignments/Assignment 2/genotypeGivenAlleleFreqsFactor.m

3.0 kB

Assignments/Assignment 2/genotypeGivenParentsGenotypesFactor.m

3.2 kB

Assignments/Assignment 2/phenotypeGivenCopiesFactor.m

3.2 kB

Assignments/Assignment 2/phenotypeGivenGenotypeFactor.m

2.0 kB

Assignments/Assignment 2/phenotypeGivenGenotypeMendelianFactor.m

2.3 kB

Assignments/Assignment 2/sampleFactorList.mat

396 B

Assignments/Assignment 2/sampleFactorListDecoupled.mat

440 B

Assignments/Assignment 2/sampleGeneticNetworks.m

4.2 kB

Assignments/Assignment 2/sendToSamiam.m

7.3 kB

Assignments/Assignment 2/sendToSamiamGeneCopy.m

10 kB

Assignments/Assignment 2/sendToSamiamInfo.m

887 B

Assignments/Assignment 2/sendToSamiamInfoDecoupled.m

1.1 kB

Assignments/Assignment 2/spinalMuscularAtrophyBayesNet.net

4.1 kB

Assignments/Assignment 2/submit.m

26 kB

Assignments/Assignment 2/submitWeb.m

523 B

Assignments/Assignment 3/AssignmentToIndex.m

652 B

Assignments/Assignment 3/BuildOCRNetwork.m

3.3 kB

Assignments/Assignment 3/ChooseTopSimilarityFactors.m

832 B

Assignments/Assignment 3/ComputeAllSimilarityFactors.m

673 B

Assignments/Assignment 3/ComputeEqualPairwiseFactors.m

647 B

Assignments/Assignment 3/ComputeImageFactor.m

696 B

Assignments/Assignment 3/ComputePairwiseFactors.m

910 B

Assignments/Assignment 3/ComputeSimilarityFactor.m

953 B

Assignments/Assignment 3/ComputeSingletonFactors.m

841 B

Assignments/Assignment 3/ComputeTripletFactors.m

1.0 kB

Assignments/Assignment 3/ComputeWordPredictions.m

1.2 kB

Assignments/Assignment 3/GetValueOfAssignment.m

835 B

Assignments/Assignment 3/ImageSimilarity.m

708 B

Assignments/Assignment 3/IndexToAssignment.m

585 B

Assignments/Assignment 3/PA3Data.mat

14 kB

Assignments/Assignment 3/PA3Description.pdf

413 kB

Assignments/Assignment 3/PA3Models.mat

54 kB

Assignments/Assignment 3/PA3SampleCases.mat

74 kB

Assignments/Assignment 3/PA3TestCases.mat

5.3 kB

Assignments/Assignment 3/RunInference.m

1.7 kB

Assignments/Assignment 3/ScoreModel.m

1.1 kB

Assignments/Assignment 3/ScorePredictions.m

2.2 kB

Assignments/Assignment 3/SerializeFactorsFg.m

1.2 kB

Assignments/Assignment 3/SetValueOfAssignment.m

856 B

Assignments/Assignment 3/VisualizeWord.m

696 B

Assignments/Assignment 3/inference/doinference-linux

2.2 MB

Assignments/Assignment 3/inference/doinference-mac

816 kB

Assignments/Assignment 3/inference/doinference.exe

3.3 MB

Assignments/Assignment 3/inference/inference-src.zip

2.1 MB

Assignments/Assignment 3/submit.m

21 kB

Assignments/Assignment 3/submitWeb.m

581 B

Assignments/Assignment 4/Assignment 4.pdf

421 kB

Assignments/Assignment 4/AssignmentToIndex.m

622 B

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

1.2 kB

Assignments/Assignment 4/ComputeMarginal.m

1.2 kB

Assignments/Assignment 4/CreateCliqueTree.m

2.2 kB

Assignments/Assignment 4/DecodedMarginalsToChars.m

218 B

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

2.3 kB

Assignments/Assignment 4/GetNextCliques.m

1.3 kB

Assignments/Assignment 4/GetValueOfAssignment.m

838 B

Assignments/Assignment 4/IndexToAssignment.m

641 B

Assignments/Assignment 4/MaxDecoding.m

825 B

Assignments/Assignment 4/ObserveEvidence.m

2.1 kB

Assignments/Assignment 4/PA4Sample.mat

215 kB

Assignments/Assignment 4/PA4Test.mat

63 kB

Assignments/Assignment 4/PruneTree.m

1.8 kB

Assignments/Assignment 4/SetValueOfAssignment.m

1.2 kB

Assignments/Assignment 4/StandardizeFactors.m

621 B

Assignments/Assignment 4/submit.m

28 kB

Assignments/Assignment 4/submitWeb.m

581 B

Assignments/Assignment 5/Assignment 5.pdf

522 kB

Assignments/Assignment 5/AssignmentToIndex.m

619 B

Assignments/Assignment 5/BlockLogDistribution.m

2.8 kB

Assignments/Assignment 5/CheckConvergence.m

1.1 kB

Assignments/Assignment 5/ClusterGraphCalibrate.m

3.4 kB

Assignments/Assignment 5/ComputeApproxMarginalsBP.m

2.3 kB

Assignments/Assignment 5/ComputeInitialPotentials.m

2.1 kB

Assignments/Assignment 5/ConstructRandNetwork.m

1.9 kB

Assignments/Assignment 5/ConstructToyNetwork.m

1.8 kB

Assignments/Assignment 5/CreateClusterGraph.m

1.5 kB

Assignments/Assignment 5/EdgeToFactorCorrespondence.m

482 B

Assignments/Assignment 5/ExtractMarginalsFromSamples.m

1.1 kB

Assignments/Assignment 5/FactorMarginalization.m

1.7 kB

Assignments/Assignment 5/FactorProduct.m

2.3 kB

Assignments/Assignment 5/GetNextClusters.m

1.1 kB

Assignments/Assignment 5/GetValueOfAssignment.m

837 B

Assignments/Assignment 5/GibbsTrans.m

1018 B

Assignments/Assignment 5/IndexToAssignment.m

641 B

Assignments/Assignment 5/LogProbOfJointAssignment.m

341 B

Assignments/Assignment 5/MCMCInference.m

5.2 kB

Assignments/Assignment 5/MHGibbsTrans.m

583 B

Assignments/Assignment 5/MHSWTrans.m

3.8 kB

Assignments/Assignment 5/MHUniformTrans.m

785 B

Assignments/Assignment 5/NaiveGetNextClusters.m

1.2 kB

Assignments/Assignment 5/ObserveEvidence.m

2.1 kB

Assignments/Assignment 5/SetValueOfAssignment.m

858 B

Assignments/Assignment 5/SmartGetNextClusters.m

1.3 kB

Assignments/Assignment 5/TestToy.m

1.7 kB

Assignments/Assignment 5/VariableToFactorCorrespondence.m

261 B

Assignments/Assignment 5/VisualizeMCMCMarginals.m

2.5 kB

Assignments/Assignment 5/VisualizeToyImageMarginals.m

374 B

Assignments/Assignment 5/exampleIOPA5.mat

44 kB

Assignments/Assignment 5/gaimc/scomponents.m

2.4 kB

Assignments/Assignment 5/gaimc/sparse_to_csr.m

2.2 kB

Assignments/Assignment 5/rand.m

442 B

Assignments/Assignment 5/randi.m

832 B

Assignments/Assignment 5/randsample.m

1.5 kB

Assignments/Assignment 5/smooth.m

431 B

Assignments/Assignment 5/submit.m

37 kB

Assignments/Assignment 5/submit_input.mat

7.8 kB

Assignments/Assignment 6/Assignment 6.pdf

456 kB

Assignments/Assignment 6/AssignmentToIndex.m

621 B

Assignments/Assignment 6/CPDFromFactor.m

780 B

Assignments/Assignment 6/CalculateExpectedUtilityFactor.m

922 B

Assignments/Assignment 6/EliminateVar.m

1.4 kB

Assignments/Assignment 6/FactorMarginalization.m

1.7 kB

Assignments/Assignment 6/FactorProduct.m

2.3 kB

Assignments/Assignment 6/FullI.mat

856 B

Assignments/Assignment 6/GetValueOfAssignment.m

838 B

Assignments/Assignment 6/IndexToAssignment.m

641 B

Assignments/Assignment 6/MultipleUtilityI.mat

898 B

Assignments/Assignment 6/NormalizeCPDFactors.m

845 B

Assignments/Assignment 6/NormalizeFactorValues.m

234 B

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 B

Assignments/Assignment 6/SetValueOfAssignment.m

1.2 kB

Assignments/Assignment 6/SimpleCalcExpectedUtility.m

1.1 kB

Assignments/Assignment 6/SimpleOptimizeMEU.m

835 B

Assignments/Assignment 6/TestCases.m

4.8 kB

Assignments/Assignment 6/TestI0.mat

855 B

Assignments/Assignment 6/VariableElimination.m

1.3 kB

Assignments/Assignment 6/submit.m

28 kB

Assignments/Assignment 6/submitWeb.m

581 B

Assignments/Assignment 7/AssignmentToIndex.m

609 B

Assignments/Assignment 7/CliqueTreeCalibrate.m

4.9 kB

Assignments/Assignment 7/ComputeConditionedSingletonFeatures.m

998 B

Assignments/Assignment 7/ComputeExactMarginalsBP.m

2.2 kB

Assignments/Assignment 7/ComputeInitialPotentials.m

3.5 kB

Assignments/Assignment 7/ComputeJointDistribution.m

906 B

Assignments/Assignment 7/ComputeMarginal.m

973 B

Assignments/Assignment 7/ComputeUnconditionedPairFeatures.m

728 B

Assignments/Assignment 7/ComputeUnconditionedSingletonFeatures.m

612 B

Assignments/Assignment 7/CreateCliqueTree.m

2.1 kB

Assignments/Assignment 7/EliminateVar.m

1.3 kB

Assignments/Assignment 7/EmptyFactorStruct.m

183 B

Assignments/Assignment 7/EmptyFeatureStruct.m

195 B

Assignments/Assignment 7/FactorMarginalization.m

1.5 kB

Assignments/Assignment 7/FactorMaxMarginalization.m

1.7 kB

Assignments/Assignment 7/FactorProduct.m

2.1 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 B

Assignments/Assignment 7/IndexToAssignment.m

587 B

Assignments/Assignment 7/InstanceNegLogLikelihood.m

3.0 kB

Assignments/Assignment 7/LRAccuracy.m

658 B

Assignments/Assignment 7/LRCostSGD.m

1.5 kB

Assignments/Assignment 7/LRPredict.m

514 B

Assignments/Assignment 7/LRSearchLambdaSGD.m

1.1 kB

Assignments/Assignment 7/LRTrainSGD.m

1.3 kB

Assignments/Assignment 7/MaxDecoding.m

659 B

Assignments/Assignment 7/NumParamsForConditionedFeatures.m

321 B

Assignments/Assignment 7/NumParamsForUnconditionedFeatures.m

223 B

Assignments/Assignment 7/ObserveEvidence.m

1.9 kB

Assignments/Assignment 7/PA7Description.pdf

487 kB

Assignments/Assignment 7/Part1Lambdas.mat

221 B

Assignments/Assignment 7/Part2FullDataset.mat

7.2 kB

Assignments/Assignment 7/Part2LogZTest.mat

8.5 kB

Assignments/Assignment 7/Part2Sample.mat

85 kB

Assignments/Assignment 7/Part2Test.mat

18 kB

Assignments/Assignment 7/PruneTree.m

1.8 kB

Assignments/Assignment 7/SetValueOfAssignment.m

856 B

Assignments/Assignment 7/StochasticGradientDescent.m

1.5 kB

Assignments/Assignment 7/Test1X.mat

1.6 kB

Assignments/Assignment 7/Test1Y.mat

182 B

Assignments/Assignment 7/Train1X.mat

3.8 kB

Assignments/Assignment 7/Train1Y.mat

237 B

Assignments/Assignment 7/Train2X.mat

3.8 kB

Assignments/Assignment 7/Train2Y.mat

236 B

Assignments/Assignment 7/Validation1X.mat

3.7 kB

Assignments/Assignment 7/Validation1Y.mat

191 B

Assignments/Assignment 7/Validation2X.mat

3.7 kB

Assignments/Assignment 7/Validation2Y.mat

191 B

Assignments/Assignment 7/ValidationAccuracy.mat

251 B

Assignments/Assignment 7/VisualizeCharacters.m

884 B

Assignments/Assignment 7/sigmoid.m

158 B

Assignments/Assignment 7/submit.m

20 kB

Assignments/Assignment 7/submitWeb.m

580 B

Assignments/Assignment 8/ClassifyDataset.m

751 B

Assignments/Assignment 8/ComputeLogLikelihood.m

1.1 kB

Assignments/Assignment 8/ConvertAtoG.m

496 B

Assignments/Assignment 8/FitGaussianParameters.m

288 B

Assignments/Assignment 8/FitLinearGaussianParameters.m

1.3 kB

Assignments/Assignment 8/GaussianMutualInformation.m

442 B

Assignments/Assignment 8/LearnCPDsGivenGraph.m

1004 B

Assignments/Assignment 8/LearnGraphAndCPDs.m

974 B

Assignments/Assignment 8/LearnGraphStructure.m

708 B

Assignments/Assignment 8/MaxSpanningTree.m

2.1 kB

Assignments/Assignment 8/PA8Data.mat

191 kB

Assignments/Assignment 8/PA8Description.pdf

378 kB

Assignments/Assignment 8/PA8SampleCases.mat

288 kB

Assignments/Assignment 8/SampleGaussian.m

232 B

Assignments/Assignment 8/SampleMultinomial.m

302 B

Assignments/Assignment 8/SamplePose.m

3.2 kB

Assignments/Assignment 8/ShowPose.m

1.4 kB

Assignments/Assignment 8/VisualizeDataset.m

316 B

Assignments/Assignment 8/VisualizeModels.m

629 B

Assignments/Assignment 8/func_DrawLine.m

3.0 kB

Assignments/Assignment 8/lognormpdf.m

159 B

Assignments/Assignment 8/submit.m

24 kB

Assignments/Assignment 8/submitWeb.m

580 B

Assignments/Assignment 8/submit_input.mat

453 kB

Assignments/Assignment 9/AssignmentToIndex.m

609 B

Assignments/Assignment 9/CliqueTreeCalibrate.m

3.1 kB

Assignments/Assignment 9/ComputeExactMarginalsHMM.m

1.6 kB

Assignments/Assignment 9/CreateCliqueTreeHMM.m

2.4 kB

Assignments/Assignment 9/EM_HMM.m

4.6 kB

Assignments/Assignment 9/EM_cluster.m

3.2 kB

Assignments/Assignment 9/FactorMarginalization.m

821 B

Assignments/Assignment 9/FitG.m

352 B

Assignments/Assignment 9/FitLG.m

1.6 kB

Assignments/Assignment 9/IndexToAssignment.m

587 B

Assignments/Assignment 9/PA9Data.mat

2.6 MB

Assignments/Assignment 9/PA9Description.pdf

987 kB

Assignments/Assignment 9/PA9SampleCases.mat

1.0 MB

Assignments/Assignment 9/RecognizeActions.m

1.4 kB

Assignments/Assignment 9/RecognizeUnknownActions.m

261 B

Assignments/Assignment 9/SavePredictions.m

575 B

Assignments/Assignment 9/ShowPose.m

1.4 kB

Assignments/Assignment 9/VisualizeDataset.m

243 B

Assignments/Assignment 9/YourMethod.txt

65 B

Assignments/Assignment 9/func_DrawLine.m

3.0 kB

Assignments/Assignment 9/lognormpdf.m

556 B

Assignments/Assignment 9/logsumexp.m

341 B

Assignments/Assignment 9/submit.m

22 kB

Assignments/Assignment 9/submitWeb.m

580 B

Assignments/Assignment 9/submit_input.mat

842 kB

Lectures/Week 1 - 01 Introduction and Overview/01_Welcome_05-35.mp4

7.1 MB

Lectures/Week 1 - 01 Introduction and Overview/01_Welcome_05-35.srt

10 kB

Lectures/Week 1 - 01 Introduction and Overview/01_Welcome_05-35.txt

6.1 kB

Lectures/Week 1 - 01 Introduction and Overview/02_Overview_and_Motivation_19-17.mp4

23 MB

Lectures/Week 1 - 01 Introduction and Overview/02_Overview_and_Motivation_19-17.srt

25 kB

Lectures/Week 1 - 01 Introduction and Overview/02_Overview_and_Motivation_19-17.txt

17 kB

Lectures/Week 1 - 01 Introduction and Overview/03_Distributions_04-56.mp4

5.8 MB

Lectures/Week 1 - 01 Introduction and Overview/03_Distributions_04-56.srt

6.9 kB

Lectures/Week 1 - 01 Introduction and Overview/03_Distributions_04-56.txt

4.7 kB

Lectures/Week 1 - 01 Introduction and Overview/04_Factors_06-40.mp4

7.4 MB

Lectures/Week 1 - 01 Introduction and Overview/04_Factors_06-40.srt

8.5 kB

Lectures/Week 1 - 01 Introduction and Overview/04_Factors_06-40.txt

5.8 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/01_Semantics__Factorization_17-20.mp4

20 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/01_Semantics__Factorization_17-20.srt

21 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/01_Semantics__Factorization_17-20.txt

14 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/02_Reasoning_Patterns_09-59.mp4

11 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/02_Reasoning_Patterns_09-59.srt

12 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/02_Reasoning_Patterns_09-59.txt

8.1 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/03_Flow_of_Probabilistic_Influence_14-36.mp4

16 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/03_Flow_of_Probabilistic_Influence_14-36.srt

16 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/03_Flow_of_Probabilistic_Influence_14-36.txt

11 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/04_Conditional_Independence_12-38.mp4

16 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/04_Conditional_Independence_12-38.srt

15 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/04_Conditional_Independence_12-38.txt

10 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/05_Independencies_in_Bayesian_Networks_18-18.mp4

22 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/05_Independencies_in_Bayesian_Networks_18-18.srt

23 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/05_Independencies_in_Bayesian_Networks_18-18.txt

16 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/06_Naive_Bayes_09-52.mp4

11 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/06_Naive_Bayes_09-52.srt

11 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/06_Naive_Bayes_09-52.txt

7.6 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/07_Application_-_Medical_Diagnosis_09-19.mp4

12 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/07_Application_-_Medical_Diagnosis_09-19.srt

12 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/07_Application_-_Medical_Diagnosis_09-19.txt

8.3 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/08_Knowledge_Engineering_Example_-_SAMIAM_14-14.mp4

13 MB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/08_Knowledge_Engineering_Example_-_SAMIAM_14-14.srt

23 kB

Lectures/Week 1 - 02 Bayesian Network Fundamentals/08_Knowledge_Engineering_Example_-_SAMIAM_14-14.txt

12 kB

Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.mp4

12 MB

Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.srt

13 kB

Lectures/Week 1 - 03 Template Models/01_Overview_of_Template_Models_10-55.txt

8.7 kB

Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.mp4

26 MB

Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.srt

26 kB

Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.txt

18 kB

Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.mp4

14 MB

Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.srt

15 kB

Lectures/Week 1 - 03 Template Models/03_Temporal_Models_-_HMMs_12-01.txt

10 kB

Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.mp4

22 MB

Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.srt

24 kB

Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.txt

16 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.mp4

18 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.srt

16 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/01_Basic_Operations_13-59.txt

11 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.mp4

21 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.srt

19 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.txt

13 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.mp4

15 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.srt

16 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/03_Computing_On_Data_13-15.txt

11 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.mp4

13 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.srt

11 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/04_Plotting_Data_09-38.txt

7.7 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.mp4

16 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.srt

15 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/05_Control_Statements-_for_while_if_statements_12-55.txt

10 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.mp4

16 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.srt

17 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/06_Vectorization_13-48.txt

11 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.mp4

5.5 MB

Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.srt

4.5 kB

Lectures/Week 1 - 04 ML-class Octave Tutorial/07_Working_on_and_Submitting_Programming_Exercises_03-33.txt

3.1 kB

Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.mp4

9.6 MB

Lectures/Week 2 - 05 Structured CPDs/01_Overview-_Structured_CPDs_08-00.srt

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Lectures/Week 2 - 05 Structured CPDs/02_Tree-Structured_CPDs_14-37.mp4

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Lectures/Week 2 - 05 Structured CPDs/03_Independence_of_Causal_Influence_13-08.mp4

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Lectures/Week 2 - 05 Structured CPDs/04_Continuous_Variables_13-25.mp4

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Lectures/Week 2 - 06 Markov Network Fundamentals/01_Pairwise_Markov_Networks_10-59.mp4

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Lectures/Week 2 - 06 Markov Network Fundamentals/02_General_Gibbs_Distribution_15-52.mp4

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Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.mp4

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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/05_I-maps_and_perfect_maps_20-59.mp4

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Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.mp4

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Lectures/Week 2 - 06 Markov Network Fundamentals/07_Shared_Features_in_Log-Linear_Models_08-28.mp4

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Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.mp4

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Lectures/Week 3 - 08 Inference-Variable Elimination/01_Overview-_Conditional_Probability_Queries_15-22.mp4

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Lectures/Week 3 - 08 Inference-Variable Elimination/04_Complexity_of_Variable_Elimination_12-48.mp4

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Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/01_Belief_Propagation_21-21.mp4

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Lectures/Week 3 - 09 Inference-Belief Propagation Part 1/02_Properties_of_Cluster_Graphs_15-00.mp4

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Lectures/Week 4 - 10 Inference-Belief Propagation Part 2/01_Properties_of_Belief_Propagation_9-31.mp4

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Lectures/Week 4 - 11 Inference-MAP Estimation Part 1/01_Max_Sum_Message_Passing_20-27.mp4

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Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/01_Tractable_MAP_Problems_15-04.mp4

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Lectures/Week 5 - 12 Inference- MAP Estimation Part 2/02_Dual_Decomposition_-_Intuition_17-46.mp4

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Lectures/Week 5 - 13 Inference- Sampling Methods/01_Simple_Sampling_23-37.mp4

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Lectures/Week 5 - 13 Inference- Sampling Methods/02_Markov_Chain_Monte_Carlo_14-18.mp4

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Lectures/Week 5 - 13 Inference- Sampling Methods/04_Gibbs_Sampling_19-26.mp4

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Lectures/Week 5 - 13 Inference- Sampling Methods/05_Metropolis_Hastings_Algorithm_27-06.mp4

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Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.mp4

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Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/02_Inference-_Summary_12-45.mp4

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Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.mp4

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Lectures/Week 6 - 15 Decision Theory/03_Value_of_Perfect_Information_17-14.mp4

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Lectures/Week 6 - 16 ML-class Revision/01_Regularization-_The_Problem_of_Overfitting_09-42.mp4

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Lectures/Week 6 - 16 ML-class Revision/02_Regularization-_Cost_Function_10-10.mp4

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Lectures/Week 6 - 17 Learning-Overview/01_Learning-_Overview_15-35.mp4

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Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/01_Maximum_Likelihood_Estimation_14-59.mp4

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Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/02_Maximum_Likelihood_Estimation_for_Bayesian_Networks_15-49.mp4

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Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/04_Bayesian_Prediction_13-40.mp4

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Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.mp4

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Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/02_Maximum_Likelihood_for_Conditional_Random_Fields_13-24.mp4

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Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/03_MAP_Estimation_for_MRFs_and_CRFs_9-59.mp4

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Lectures/Week 8 - 20 Structure Learning/01_Structure_Learning_Overview_5-49.mp4

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Lectures/Week 8 - 20 Structure Learning/05_Learning_Tree_Structured_Networks_12-05.mp4

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Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.mp4

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Lectures/Week 8 - 20 Structure Learning/07_Learning_General_Graphs-_Search_and_Decomposability_15-46.mp4

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Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.mp4

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Lectures/Week 9 - 21 Learning With Incomplete Data/02_Expectation_Maximization_-_Intro_16-17.mp4

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Lectures/Week 9 - 21 Learning With Incomplete Data/03_Analysis_of_EM_Algorithm_11-32.mp4

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Lectures/Week 9 - 21 Learning With Incomplete Data/04_EM_in_Practice_11-17.mp4

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Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.mp4

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Lectures/Week 9 - 22 Learning- Wrapup/01_Summary-_Learning_20-11.mp4

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Lectures/Week 9 - 23 Summary/01_Class_Summary_24-38.mp4

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