Machine Learning - Stanford

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machine learning stanford

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Machine Learning - Stanford

132 files • 0 Bytes

Self-notes

19 files • 0 Bytes

08-10.txt

Machine Learning - Stanford/Self-notes/08-10.txt

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12-10.txt

Machine Learning - Stanford/Self-notes/12-10.txt

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22-11.txt

Machine Learning - Stanford/Self-notes/22-11.txt

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Lecture1.pdf

Machine Learning - Stanford/Self-notes/Lecture1.pdf

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Lecture10.pdf

Machine Learning - Stanford/Self-notes/Lecture10.pdf

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Lecture11.pdf

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Lecture12.pdf

Machine Learning - Stanford/Self-notes/Lecture12.pdf

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Lecture13.pdf

Machine Learning - Stanford/Self-notes/Lecture13.pdf

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Lecture14.pdf

Machine Learning - Stanford/Self-notes/Lecture14.pdf

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Lecture15.pdf

Machine Learning - Stanford/Self-notes/Lecture15.pdf

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Lecture16.pdf

Machine Learning - Stanford/Self-notes/Lecture16.pdf

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Lecture2.pdf

Machine Learning - Stanford/Self-notes/Lecture2.pdf

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Lecture3.pdf

Machine Learning - Stanford/Self-notes/Lecture3.pdf

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Lecture4.pdf

Machine Learning - Stanford/Self-notes/Lecture4.pdf

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Lecture6.pdf

Machine Learning - Stanford/Self-notes/Lecture6.pdf

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Lecture7.pdf

Machine Learning - Stanford/Self-notes/Lecture7.pdf

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Lecture8.pdf

Machine Learning - Stanford/Self-notes/Lecture8.pdf

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Lecture9.pdf

Machine Learning - Stanford/Self-notes/Lecture9.pdf

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octave_session.m

Machine Learning - Stanford/Self-notes/octave_session.m

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01.2-V2-Introduction-WhatIsMachineLearning.mp4

Machine Learning - Stanford/01.2-V2-Introduction-WhatIsMachineLearning.mp4

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01.3-V2-Introduction-SupervisedLearning.mp4

Machine Learning - Stanford/01.3-V2-Introduction-SupervisedLearning.mp4

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01.4-V2-Introduction-UnsupervisedLearning.mp4

Machine Learning - Stanford/01.4-V2-Introduction-UnsupervisedLearning.mp4

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02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4

Machine Learning - Stanford/02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4

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02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4

Machine Learning - Stanford/02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4

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02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4

Machine Learning - Stanford/02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4

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02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4

Machine Learning - Stanford/02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4

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02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4

Machine Learning - Stanford/02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4

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02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4

Machine Learning - Stanford/02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4

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02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4

Machine Learning - Stanford/02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4

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02.8-V2-What'sNext.mp4

Machine Learning - Stanford/02.8-V2-What'sNext.mp4

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

Machine Learning - Stanford/03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4

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

Machine Learning - Stanford/03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4

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

Machine Learning - Stanford/03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4

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

Machine Learning - Stanford/03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4

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

Machine Learning - Stanford/03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4

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

Machine Learning - Stanford/03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4

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04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4

Machine Learning - Stanford/04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4

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04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4

Machine Learning - Stanford/04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4

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04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4

Machine Learning - Stanford/04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4

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04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4

Machine Learning - Stanford/04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4

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04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4

Machine Learning - Stanford/04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4

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04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4

Machine Learning - Stanford/04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4

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04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4

Machine Learning - Stanford/04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4

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05.1-OctaveTutorial-BasicOperations.mp4

Machine Learning - Stanford/05.1-OctaveTutorial-BasicOperations.mp4

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05.2-OctaveTutorial-MovingDataAround.mp4

Machine Learning - Stanford/05.2-OctaveTutorial-MovingDataAround.mp4

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05.3-OctaveTutorial-ComputingOnData.mp4

Machine Learning - Stanford/05.3-OctaveTutorial-ComputingOnData.mp4

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05.4-OctaveTutorial-PlottingData.mp4

Machine Learning - Stanford/05.4-OctaveTutorial-PlottingData.mp4

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05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4

Machine Learning - Stanford/05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4

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05.6-OctaveTutorial-Vectorization.mp4

Machine Learning - Stanford/05.6-OctaveTutorial-Vectorization.mp4

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05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4

Machine Learning - Stanford/05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4

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06.1-LogisticRegression-Classification.mp4

Machine Learning - Stanford/06.1-LogisticRegression-Classification.mp4

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06.2-LogisticRegression-HypothesisRepresentation.mp4

Machine Learning - Stanford/06.2-LogisticRegression-HypothesisRepresentation.mp4

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06.3-LogisticRegression-DecisionBoundary.mp4

Machine Learning - Stanford/06.3-LogisticRegression-DecisionBoundary.mp4

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06.4-LogisticRegression-CostFunction.mp4

Machine Learning - Stanford/06.4-LogisticRegression-CostFunction.mp4

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06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4

Machine Learning - Stanford/06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4

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06.6-LogisticRegression-AdvancedOptimization.mp4

Machine Learning - Stanford/06.6-LogisticRegression-AdvancedOptimization.mp4

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06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4

Machine Learning - Stanford/06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4

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07.1-Regularization-TheProblemOfOverfitting.mp4

Machine Learning - Stanford/07.1-Regularization-TheProblemOfOverfitting.mp4

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07.2-Regularization-CostFunction.mp4

Machine Learning - Stanford/07.2-Regularization-CostFunction.mp4

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07.3-Regularization-RegularizedLinearRegression.mp4

Machine Learning - Stanford/07.3-Regularization-RegularizedLinearRegression.mp4

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07.4-Regularization-RegularizedLogisticRegression.mp4

Machine Learning - Stanford/07.4-Regularization-RegularizedLogisticRegression.mp4

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08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4

Machine Learning - Stanford/08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4

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08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4

Machine Learning - Stanford/08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4

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08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4

Machine Learning - Stanford/08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4

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08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4

Machine Learning - Stanford/08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4

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08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4

Machine Learning - Stanford/08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4

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08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4

Machine Learning - Stanford/08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4

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08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4

Machine Learning - Stanford/08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4

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09.1-NeuralNetworksLearning-CostFunction.mp4

Machine Learning - Stanford/09.1-NeuralNetworksLearning-CostFunction.mp4

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09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4

Machine Learning - Stanford/09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4

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09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4

Machine Learning - Stanford/09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4

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09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4

Machine Learning - Stanford/09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4

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09.4-NeuralNetworksLearning-GradientChecking.mp4

Machine Learning - Stanford/09.4-NeuralNetworksLearning-GradientChecking.mp4

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09.5-NeuralNetworksLearning-RandomInitialization.mp4

Machine Learning - Stanford/09.5-NeuralNetworksLearning-RandomInitialization.mp4

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09.7-NeuralNetworksLearning-PuttingItTogether.mp4

Machine Learning - Stanford/09.7-NeuralNetworksLearning-PuttingItTogether.mp4

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09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4

Machine Learning - Stanford/09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4

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10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4

Machine Learning - Stanford/10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4

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10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4

Machine Learning - Stanford/10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4

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10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4

Machine Learning - Stanford/10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4

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10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4

Machine Learning - Stanford/10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4

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10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4

Machine Learning - Stanford/10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4

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10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4

Machine Learning - Stanford/10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4

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10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4

Machine Learning - Stanford/10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4

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11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4

Machine Learning - Stanford/11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4

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11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4

Machine Learning - Stanford/11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4

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11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4

Machine Learning - Stanford/11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4

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11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4

Machine Learning - Stanford/11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4

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11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4

Machine Learning - Stanford/11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4

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12.1-SupportVectorMachines-OptimizationObjective.mp4

Machine Learning - Stanford/12.1-SupportVectorMachines-OptimizationObjective.mp4

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12.2-SupportVectorMachines-LargeMarginIntuition.mp4

Machine Learning - Stanford/12.2-SupportVectorMachines-LargeMarginIntuition.mp4

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12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4

Machine Learning - Stanford/12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4

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12.4-SupportVectorMachines-KernelsI.mp4

Machine Learning - Stanford/12.4-SupportVectorMachines-KernelsI.mp4

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12.5-SupportVectorMachines-KernelsII.mp4

Machine Learning - Stanford/12.5-SupportVectorMachines-KernelsII.mp4

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12.6-SupportVectorMachines-UsingAnSVM.mp4

Machine Learning - Stanford/12.6-SupportVectorMachines-UsingAnSVM.mp4

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14.1-Clustering-UnsupervisedLearningIntroduction.mp4

Machine Learning - Stanford/14.1-Clustering-UnsupervisedLearningIntroduction.mp4

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14.2-Clustering-KMeansAlgorithm.mp4

Machine Learning - Stanford/14.2-Clustering-KMeansAlgorithm.mp4

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14.3-Clustering-OptimizationObjective.mp4

Machine Learning - Stanford/14.3-Clustering-OptimizationObjective.mp4

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14.4-Clustering-RandomInitialization.mp4

Machine Learning - Stanford/14.4-Clustering-RandomInitialization.mp4

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14.5-Clustering-ChoosingTheNumberOfClusters.mp4

Machine Learning - Stanford/14.5-Clustering-ChoosingTheNumberOfClusters.mp4

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15.1-DimensionalityReduction-MotivationIDataCompression.mp4

Machine Learning - Stanford/15.1-DimensionalityReduction-MotivationIDataCompression.mp4

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15.2-DimensionalityReduction-MotivationIIVisualization.mp4

Machine Learning - Stanford/15.2-DimensionalityReduction-MotivationIIVisualization.mp4

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15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4

Machine Learning - Stanford/15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4

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15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4

Machine Learning - Stanford/15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4

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15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4

Machine Learning - Stanford/15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4

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15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4

Machine Learning - Stanford/15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4

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15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4

Machine Learning - Stanford/15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4

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16.1-AnomalyDetection-ProblemMotivation-V1.mp4

Machine Learning - Stanford/16.1-AnomalyDetection-ProblemMotivation-V1.mp4

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16.2-AnomalyDetection-GaussianDistribution.mp4

Machine Learning - Stanford/16.2-AnomalyDetection-GaussianDistribution.mp4

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16.3-AnomalyDetection-Algorithm.mp4

Machine Learning - Stanford/16.3-AnomalyDetection-Algorithm.mp4

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16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4

Machine Learning - Stanford/16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4

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16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4

Machine Learning - Stanford/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4

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16.6-AnomalyDetection-ChoosingWhatFeaturesToUse.mp4

Machine Learning - Stanford/16.6-AnomalyDetection-ChoosingWhatFeaturesToUse.mp4

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16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4

Machine Learning - Stanford/16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4

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16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4

Machine Learning - Stanford/16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4

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17.1-RecommenderSystems-ProblemFormulation.mp4

Machine Learning - Stanford/17.1-RecommenderSystems-ProblemFormulation.mp4

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17.2-RecommenderSystems-ContentBasedRecommendations.mp4

Machine Learning - Stanford/17.2-RecommenderSystems-ContentBasedRecommendations.mp4

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17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4

Machine Learning - Stanford/17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4

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17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4

Machine Learning - Stanford/17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4

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17.5-RecommenderSystems-VectorizationLowRankMatrixFactorization.mp4

Machine Learning - Stanford/17.5-RecommenderSystems-VectorizationLowRankMatrixFactorization.mp4

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17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4

Machine Learning - Stanford/17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4

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18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4

Machine Learning - Stanford/18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4

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18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4

Machine Learning - Stanford/18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4

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18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4

Machine Learning - Stanford/18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4

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18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4

Machine Learning - Stanford/18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4

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18.5-LargeScaleMachineLearning-OnlineLearning.mp4

Machine Learning - Stanford/18.5-LargeScaleMachineLearning-OnlineLearning.mp4

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18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4

Machine Learning - Stanford/18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4

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19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4

Machine Learning - Stanford/19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4

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19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4

Machine Learning - Stanford/19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4

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19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4

Machine Learning - Stanford/19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4

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19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4

Machine Learning - Stanford/19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4

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20.1-Conclusion-SummaryAndThankYou.mp4

Machine Learning - Stanford/20.1-Conclusion-SummaryAndThankYou.mp4

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

Machine Learning - Stanford/Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe

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