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Name:	Stanford University Machine Learning
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	4C9577E80A76E69046AE4D74B51BCB1545D95F1E
Category:	Audio Books
Peers:	Seeds: 0 & Leechers: 1
Size:	1.78 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	14 November 2012

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This is verified, clean and high quality torrent (0) \| Fake (0) \| Password (0) \| Low quality (0) \| Virus (0)

Torrent Files Size: 1.78 GB
ml-class Lecture Slides Lecture1.pdf - 4.71 MB Lecture1.pptx - 4.54 MB Lecture10.pdf - 1.48 MB Lecture10.pptx - 3.35 MB Lecture11.pdf - 1.16 MB Lecture11.pptx - 7.17 MB Lecture12.pdf - 2.3 MB Lecture12.pptx - 5.39 MB Lecture13.pdf - 2.17 MB Lecture13.pptx - 2.79 MB Lecture14.pdf - 1.61 MB Lecture14.pptx - 3.62 MB Lecture15.pdf - 3.33 MB Lecture15.pptx - 6.05 MB Lecture16.pdf - 1.42 MB Lecture16.pptx - 3.6 MB Lecture17.pdf - 1.98 MB Lecture17.pptx - 3.78 MB Lecture18.pdf - 1.97 MB Lecture18.pptx - 6.13 MB Lecture2.pdf - 2.88 MB Lecture2.pptx - 5.35 MB Lecture3.pdf - 1.8 MB Lecture3.pptx - 4.92 MB Lecture4.pdf - 1.7 MB Lecture4.pptx - 4.4 MB Lecture6.pdf - 1.8 MB Lecture6.pptx - 3.24 MB Lecture7.pdf - 1.4 MB Lecture7.pptx - 2.58 MB Lecture8.pdf - 5.23 MB Lecture8.pptx - 6.29 MB Lecture9.pdf - 3.37 MB Lecture9.pptx - 4.96 MB octave_session.m - 5.21 KB MSBNx.exe - 10.9 MB Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe - 69.61 MB Octave.Workshop.Installer.exe - 117.11 MB Programming Exercises (completed) mlclass-ex1.rar - 10.98 KB mlclass-ex2.rar - 15.25 KB mlclass-ex3.rar - 7.25 MB mlclass-ex4.rar - 7.26 MB mlclass-ex5.rar - 16.36 KB mlclass-ex6.rar - 568.51 KB mlclass-ex7.rar - 10.28 MB mlclass-ex8.rar - 546.91 KB Programming Exercises mlclass-ex1.zip - 462.67 KB mlclass-ex2.zip - 239.96 KB mlclass-ex3.zip - 7.54 MB mlclass-ex4.zip - 7.59 MB mlclass-ex5.zip - 126.29 KB mlclass-ex6.zip - 894.24 KB mlclass-ex7.zip - 11.05 MB mlclass-ex8.zip - 792.41 KB Review Questions 01 - Introduction.mht - 284.72 KB 02 - Linear regression with one variable.mht - 307.72 KB 03 - Linear Algebra.mht - 309.98 KB 04 - Linear Regression with Multiple Variables.mht - 302.38 KB 05 - Octave Tutorial.mht - 293.41 KB 06 - Logistic Regression.mht - 349.34 KB 07 - Regularization.mht - 351.71 KB 08 - Neural Networks - Representation.mht - 468.13 KB 09 - Neural Networks - Learning.mht - 304.06 KB 10 - Advice for Applying Machine Learning.mht - 321.71 KB 11 - Machine Learning System Design.mht - 296.39 KB 12 - Support Vector Machines.mht - 659.61 KB 13 - Clustering.mht - 298.4 KB 14 - Dimensionality Reduction.mht - 438.82 KB 15 - Anomaly Detection.mht - 353.33 KB 16 - Recommender Systems.mht - 316.59 KB 17 - Large Scale Machine Learning.mht - 300.21 KB 18 - Application Example - Photo OCR.mht - 451.07 KB Video Lectures 01.1-V3-Introduction-Welcome.mp4 - 16.05 MB 01.2-V2-Introduction-WhatIsMachineLearning.mp4 - 11.44 MB 01.3-V2-Introduction-SupervisedLearning.mp4 - 13.65 MB 01.4-V2-Introduction-UnsupervisedLearning.mp4 - 18.17 MB 02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 - 9.49 MB 02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 - 9.63 MB 02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 - 12.91 MB 02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 - 13.92 MB 02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 - 14.93 MB 02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 - 13.91 MB 02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 - 13.55 MB 02.8-V2-What'sNext.mp4 - 6.09 MB 03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 - 9.79 MB 03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 - 7.85 MB 03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 - 15.9 MB 03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 - 13.81 MB 03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 - 10.16 MB 03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 - 14.13 MB 04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 - 6.13 MB 04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 - 4.74 MB 04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 - 7.58 MB 04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 - 6.86 MB 04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 - 5.74 MB 04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 - 13.34 MB 04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 - 5.18 MB 05.1-OctaveTutorial-BasicOperations.mp4 - 20.69 MB 05.2-OctaveTutorial-MovingDataAround.mp4 - 25.42 MB 05.3-OctaveTutorial-ComputingOnData.mp4 - 10.37 MB 05.4-OctaveTutorial-PlottingData.mp4 - 11.31 MB 05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 - 19.69 MB 05.6-OctaveTutorial-Vectorization.mp4 - 16.83 MB 05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 - 7.25 MB 06.1-LogisticRegression-Classification.mp4 - 8.73 MB 06.2-LogisticRegression-HypothesisRepresentation.mp4 - 8.81 MB 06.3-LogisticRegression-DecisionBoundary.mp4 - 17.51 MB 06.4-LogisticRegression-CostFunction.mp4 - 14.11 MB 06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 - 13.07 MB 06.6-LogisticRegression-AdvancedOptimization.mp4 - 21.59 MB 06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 - 7.29 MB 07.1-Regularization-TheProblemOfOverfitting.mp4 - 11.96 MB 07.2-Regularization-CostFunction.mp4 - 12.43 MB 07.3-Regularization-RegularizedLinearRegression.mp4 - 12.77 MB 07.4-Regularization-RegularizedLogisticRegression.mp4 - 13.5 MB 08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 - 11.53 MB 08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 - 11.47 MB 08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 - 14.37 MB 08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 - 14.41 MB 08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 - 8.29 MB 08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 - 16.84 MB 08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 - 5.41 MB 09.1-NeuralNetworksLearning-CostFunction.mp4 - 8.1 MB 09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 - 15.07 MB 09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 - 17.14 MB 09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 - 10.54 MB 09.4-NeuralNetworksLearning-GradientChecking.mp4 - 14.76 MB 09.5-NeuralNetworksLearning-RandomInitialization.mp4 - 7.95 MB 09.7-NeuralNetworksLearning-PuttingItTogether.mp4 - 17.88 MB 09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 - 21.25 MB 10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 - 7.58 MB 10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 - 9.52 MB 10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 - 16.13 MB 10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 - 10.42 MB 10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 - 13.87 MB 10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 - 13.54 MB 10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 - 8.94 MB 11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 - 12.32 MB 11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 - 16.94 MB 11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 - 14.24 MB 11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 - 17.29 MB 11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 - 13.98 MB 12.1-SupportVectorMachines-OptimizationObjective.mp4 - 17.77 MB 12.2-SupportVectorMachines-LargeMarginIntuition.mp4 - 12.66 MB 12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 - 22.91 MB 12.4-SupportVectorMachines-KernelsI.mp4 - 18.74 MB 12.5-SupportVectorMachines-KernelsII.mp4 - 18.31 MB 12.6-SupportVectorMachines-UsingAnSVM.mp4 - 25.76 MB 14.1-Clustering-UnsupervisedLearningIntroduction.mp4 - 4.12 MB 14.2-Clustering-KMeansAlgorithm.mp4 - 15.36 MB

Torrent Files

Size: 1.78 GB

ml-class

Lecture Slides

Lecture1.pdf -

4.71 MB

Lecture1.pptx -

4.54 MB

Lecture10.pdf -

1.48 MB

Lecture10.pptx -

3.35 MB

Lecture11.pdf -

1.16 MB

Lecture11.pptx -

7.17 MB

Lecture12.pdf -

2.3 MB

Lecture12.pptx -

5.39 MB

Lecture13.pdf -

2.17 MB

Lecture13.pptx -

2.79 MB

Lecture14.pdf -

1.61 MB

Lecture14.pptx -

3.62 MB

Lecture15.pdf -

3.33 MB

Lecture15.pptx -

6.05 MB

Lecture16.pdf -

1.42 MB

Lecture16.pptx -

3.6 MB

Lecture17.pdf -

1.98 MB

Lecture17.pptx -

3.78 MB

Lecture18.pdf -

1.97 MB

Lecture18.pptx -

6.13 MB

Lecture2.pdf -

2.88 MB

Lecture2.pptx -

5.35 MB

Lecture3.pdf -

1.8 MB

Lecture3.pptx -

4.92 MB

Lecture4.pdf -

1.7 MB

Lecture4.pptx -

4.4 MB

Lecture6.pdf -

1.8 MB

Lecture6.pptx -

3.24 MB

Lecture7.pdf -

1.4 MB

Lecture7.pptx -

2.58 MB

Lecture8.pdf -

5.23 MB

Lecture8.pptx -

6.29 MB

Lecture9.pdf -

3.37 MB

Lecture9.pptx -

4.96 MB

octave_session.m -

5.21 KB

MSBNx.exe -

10.9 MB

Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe -

69.61 MB

Octave.Workshop.Installer.exe -

117.11 MB

Programming Exercises (completed)

mlclass-ex1.rar -

10.98 KB

mlclass-ex2.rar -

15.25 KB

mlclass-ex3.rar -

7.25 MB

mlclass-ex4.rar -

7.26 MB

mlclass-ex5.rar -

16.36 KB

mlclass-ex6.rar -

568.51 KB

mlclass-ex7.rar -

10.28 MB

mlclass-ex8.rar -

546.91 KB

Programming Exercises

mlclass-ex1.zip -

462.67 KB

mlclass-ex2.zip -

239.96 KB

mlclass-ex3.zip -

7.54 MB

mlclass-ex4.zip -

7.59 MB

mlclass-ex5.zip -

126.29 KB

mlclass-ex6.zip -

894.24 KB

mlclass-ex7.zip -

11.05 MB

mlclass-ex8.zip -

792.41 KB

Review Questions

01 - Introduction.mht -

284.72 KB

02 - Linear regression with one variable.mht -

307.72 KB

03 - Linear Algebra.mht -

309.98 KB

04 - Linear Regression with Multiple Variables.mht -

302.38 KB

05 - Octave Tutorial.mht -

293.41 KB

06 - Logistic Regression.mht -

349.34 KB

07 - Regularization.mht -

351.71 KB

08 - Neural Networks - Representation.mht -

468.13 KB

09 - Neural Networks - Learning.mht -

304.06 KB

10 - Advice for Applying Machine Learning.mht -

321.71 KB

11 - Machine Learning System Design.mht -

296.39 KB

12 - Support Vector Machines.mht -

659.61 KB

13 - Clustering.mht -

298.4 KB

14 - Dimensionality Reduction.mht -

438.82 KB

15 - Anomaly Detection.mht -

353.33 KB

16 - Recommender Systems.mht -

316.59 KB

17 - Large Scale Machine Learning.mht -

300.21 KB

18 - Application Example - Photo OCR.mht -

451.07 KB

Video Lectures

01.1-V3-Introduction-Welcome.mp4 -

16.05 MB

01.2-V2-Introduction-WhatIsMachineLearning.mp4 -

11.44 MB

01.3-V2-Introduction-SupervisedLearning.mp4 -

13.65 MB

01.4-V2-Introduction-UnsupervisedLearning.mp4 -

18.17 MB

02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 -

9.49 MB

02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 -

9.63 MB

02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 -

12.91 MB

02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 -

13.92 MB

02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 -

14.93 MB

02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 -

13.91 MB

02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 -

13.55 MB

02.8-V2-What'sNext.mp4 -

6.09 MB

03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 -

9.79 MB

03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 -

7.85 MB

03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 -

15.9 MB

03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 -

13.81 MB

03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 -

10.16 MB

03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 -

14.13 MB

04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 -

6.13 MB

04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 -

4.74 MB

04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 -

7.58 MB

04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 -

6.86 MB

04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 -

5.74 MB

04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 -

13.34 MB

04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 -

5.18 MB

05.1-OctaveTutorial-BasicOperations.mp4 -

20.69 MB

05.2-OctaveTutorial-MovingDataAround.mp4 -

25.42 MB

05.3-OctaveTutorial-ComputingOnData.mp4 -

10.37 MB

05.4-OctaveTutorial-PlottingData.mp4 -

11.31 MB

05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 -

19.69 MB

05.6-OctaveTutorial-Vectorization.mp4 -

16.83 MB

05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 -

7.25 MB

06.1-LogisticRegression-Classification.mp4 -

8.73 MB

06.2-LogisticRegression-HypothesisRepresentation.mp4 -

8.81 MB

06.3-LogisticRegression-DecisionBoundary.mp4 -

17.51 MB

06.4-LogisticRegression-CostFunction.mp4 -

14.11 MB

06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 -

13.07 MB

06.6-LogisticRegression-AdvancedOptimization.mp4 -

21.59 MB

06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 -

7.29 MB

07.1-Regularization-TheProblemOfOverfitting.mp4 -

11.96 MB

07.2-Regularization-CostFunction.mp4 -

12.43 MB

07.3-Regularization-RegularizedLinearRegression.mp4 -

12.77 MB

07.4-Regularization-RegularizedLogisticRegression.mp4 -

13.5 MB

08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 -

11.53 MB

08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 -

11.47 MB

08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 -

14.37 MB

08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 -

14.41 MB

08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 -

8.29 MB

08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 -

16.84 MB

08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 -

5.41 MB

09.1-NeuralNetworksLearning-CostFunction.mp4 -

8.1 MB

09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 -

15.07 MB

09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 -

17.14 MB

09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 -

10.54 MB

09.4-NeuralNetworksLearning-GradientChecking.mp4 -

14.76 MB

09.5-NeuralNetworksLearning-RandomInitialization.mp4 -

7.95 MB

09.7-NeuralNetworksLearning-PuttingItTogether.mp4 -

17.88 MB

09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 -

21.25 MB

10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 -

7.58 MB

10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 -

9.52 MB

10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 -

16.13 MB

10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 -

10.42 MB

10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 -

13.87 MB

10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 -

13.54 MB

10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 -

8.94 MB

11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 -

12.32 MB

11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 -

16.94 MB

11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 -

14.24 MB

11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 -

17.29 MB

11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 -

13.98 MB

12.1-SupportVectorMachines-OptimizationObjective.mp4 -

17.77 MB

12.2-SupportVectorMachines-LargeMarginIntuition.mp4 -

12.66 MB

12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 -

22.91 MB

12.4-SupportVectorMachines-KernelsI.mp4 -

18.74 MB

12.5-SupportVectorMachines-KernelsII.mp4 -

18.31 MB

12.6-SupportVectorMachines-UsingAnSVM.mp4 -

25.76 MB

14.1-Clustering-UnsupervisedLearningIntroduction.mp4 -

4.12 MB

14.2-Clustering-KMeansAlgorithm.mp4 -

15.36 MB

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