ml-class/Lecture Slides/Lecture1.pdf |
4.7 MB |
ml-class/Lecture Slides/Lecture1.pptx |
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ml-class/Lecture Slides/Lecture10.pdf |
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ml-class/Lecture Slides/Lecture11.pdf |
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ml-class/Lecture Slides/Lecture12.pdf |
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ml-class/Lecture Slides/Lecture13.pdf |
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ml-class/Lecture Slides/Lecture13.pptx |
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ml-class/Lecture Slides/Lecture14.pdf |
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ml-class/Lecture Slides/Lecture14.pptx |
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ml-class/Lecture Slides/Lecture15.pdf |
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ml-class/Lecture Slides/Lecture15.pptx |
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ml-class/Lecture Slides/Lecture16.pdf |
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ml-class/Lecture Slides/Lecture16.pptx |
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ml-class/Lecture Slides/Lecture17.pdf |
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ml-class/Lecture Slides/Lecture17.pptx |
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ml-class/Lecture Slides/Lecture18.pdf |
2 MB |
ml-class/Lecture Slides/Lecture18.pptx |
6.1 MB |
ml-class/Lecture Slides/Lecture2.pdf |
2.9 MB |
ml-class/Lecture Slides/Lecture2.pptx |
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ml-class/Lecture Slides/Lecture3.pdf |
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ml-class/Lecture Slides/Lecture3.pptx |
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ml-class/Lecture Slides/Lecture4.pdf |
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ml-class/Lecture Slides/Lecture4.pptx |
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ml-class/Lecture Slides/Lecture6.pdf |
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ml-class/Lecture Slides/Lecture7.pdf |
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ml-class/Lecture Slides/Lecture8.pdf |
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ml-class/Lecture Slides/Lecture8.pptx |
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ml-class/Lecture Slides/Lecture9.pdf |
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ml-class/Lecture Slides/Lecture9.pptx |
5 MB |
ml-class/Lecture Slides/octave_session.m |
5 KB |
ml-class/MSBNx.exe |
10.9 MB |
ml-class/Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe |
69.6 MB |
ml-class/Octave.Workshop.Installer.exe |
117.1 MB |
ml-class/Programming Exercises (completed)/mlclass-ex1.rar |
11 KB |
ml-class/Programming Exercises (completed)/mlclass-ex2.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex3.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex4.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex5.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex6.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex7.rar |
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ml-class/Programming Exercises (completed)/mlclass-ex8.rar |
547 KB |
ml-class/Programming Exercises/mlclass-ex1.zip |
463 KB |
ml-class/Programming Exercises/mlclass-ex2.zip |
240 KB |
ml-class/Programming Exercises/mlclass-ex3.zip |
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ml-class/Programming Exercises/mlclass-ex4.zip |
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ml-class/Programming Exercises/mlclass-ex5.zip |
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ml-class/Programming Exercises/mlclass-ex6.zip |
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ml-class/Programming Exercises/mlclass-ex7.zip |
11.1 MB |
ml-class/Programming Exercises/mlclass-ex8.zip |
792 KB |
ml-class/Review Questions/01 - Introduction.mht |
285 KB |
ml-class/Review Questions/02 - Linear regression with one variable.mht |
308 KB |
ml-class/Review Questions/03 - Linear Algebra.mht |
310 KB |
ml-class/Review Questions/04 - Linear Regression with Multiple Variables.mht |
302 KB |
ml-class/Review Questions/05 - Octave Tutorial.mht |
293 KB |
ml-class/Review Questions/06 - Logistic Regression.mht |
349 KB |
ml-class/Review Questions/07 - Regularization.mht |
352 KB |
ml-class/Review Questions/08 - Neural Networks - Representation.mht |
468 KB |
ml-class/Review Questions/09 - Neural Networks - Learning.mht |
304 KB |
ml-class/Review Questions/10 - Advice for Applying Machine Learning.mht |
322 KB |
ml-class/Review Questions/11 - Machine Learning System Design.mht |
296 KB |
ml-class/Review Questions/12 - Support Vector Machines.mht |
660 KB |
ml-class/Review Questions/13 - Clustering.mht |
298 KB |
ml-class/Review Questions/14 - Dimensionality Reduction.mht |
439 KB |
ml-class/Review Questions/15 - Anomaly Detection.mht |
353 KB |
ml-class/Review Questions/16 - Recommender Systems.mht |
317 KB |
ml-class/Review Questions/17 - Large Scale Machine Learning.mht |
300 KB |
ml-class/Review Questions/18 - Application Example - Photo OCR.mht |
451 KB |
ml-class/Video Lectures/01.1-V3-Introduction-Welcome.mp4 |
16.1 MB |
ml-class/Video Lectures/01.2-V2-Introduction-WhatIsMachineLearning.mp4 |
11.4 MB |
ml-class/Video Lectures/01.3-V2-Introduction-SupervisedLearning.mp4 |
13.6 MB |
ml-class/Video Lectures/01.4-V2-Introduction-UnsupervisedLearning.mp4 |
18.2 MB |
ml-class/Video Lectures/02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 |
9.5 MB |
ml-class/Video Lectures/02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 |
9.6 MB |
ml-class/Video Lectures/02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 |
12.9 MB |
ml-class/Video Lectures/02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 |
13.9 MB |
ml-class/Video Lectures/02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 |
14.9 MB |
ml-class/Video Lectures/02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 |
13.9 MB |
ml-class/Video Lectures/02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 |
13.5 MB |
ml-class/Video Lectures/02.8-V2-What'sNext.mp4 |
6.1 MB |
ml-class/Video Lectures/03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 |
9.8 MB |
ml-class/Video Lectures/03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 |
7.9 MB |
ml-class/Video Lectures/03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 |
15.9 MB |
ml-class/Video Lectures/03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 |
13.8 MB |
ml-class/Video Lectures/03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 |
10.2 MB |
ml-class/Video Lectures/03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 |
14.1 MB |
ml-class/Video Lectures/04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 |
6.1 MB |
ml-class/Video Lectures/04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 |
4.7 MB |
ml-class/Video Lectures/04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 |
7.6 MB |
ml-class/Video Lectures/04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 |
6.9 MB |
ml-class/Video Lectures/04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 |
5.7 MB |
ml-class/Video Lectures/04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 |
13.3 MB |
ml-class/Video Lectures/04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 |
5.2 MB |
ml-class/Video Lectures/05.1-OctaveTutorial-BasicOperations.mp4 |
20.7 MB |
ml-class/Video Lectures/05.2-OctaveTutorial-MovingDataAround.mp4 |
25.4 MB |
ml-class/Video Lectures/05.3-OctaveTutorial-ComputingOnData.mp4 |
10.4 MB |
ml-class/Video Lectures/05.4-OctaveTutorial-PlottingData.mp4 |
11.3 MB |
ml-class/Video Lectures/05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 |
19.7 MB |
ml-class/Video Lectures/05.6-OctaveTutorial-Vectorization.mp4 |
16.8 MB |
ml-class/Video Lectures/05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 |
7.2 MB |
ml-class/Video Lectures/06.1-LogisticRegression-Classification.mp4 |
8.7 MB |
ml-class/Video Lectures/06.2-LogisticRegression-HypothesisRepresentation.mp4 |
8.8 MB |
ml-class/Video Lectures/06.3-LogisticRegression-DecisionBoundary.mp4 |
17.5 MB |
ml-class/Video Lectures/06.4-LogisticRegression-CostFunction.mp4 |
14.1 MB |
ml-class/Video Lectures/06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 |
13.1 MB |
ml-class/Video Lectures/06.6-LogisticRegression-AdvancedOptimization.mp4 |
21.6 MB |
ml-class/Video Lectures/06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 |
7.3 MB |
ml-class/Video Lectures/07.1-Regularization-TheProblemOfOverfitting.mp4 |
12 MB |
ml-class/Video Lectures/07.2-Regularization-CostFunction.mp4 |
12.4 MB |
ml-class/Video Lectures/07.3-Regularization-RegularizedLinearRegression.mp4 |
12.8 MB |
ml-class/Video Lectures/07.4-Regularization-RegularizedLogisticRegression.mp4 |
13.5 MB |
ml-class/Video Lectures/08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 |
11.5 MB |
ml-class/Video Lectures/08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 |
11.5 MB |
ml-class/Video Lectures/08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 |
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ml-class/Video Lectures/08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 |
14.4 MB |
ml-class/Video Lectures/08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 |
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ml-class/Video Lectures/08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 |
16.8 MB |
ml-class/Video Lectures/08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 |
5.4 MB |
ml-class/Video Lectures/09.1-NeuralNetworksLearning-CostFunction.mp4 |
8.1 MB |
ml-class/Video Lectures/09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 |
15.1 MB |
ml-class/Video Lectures/09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 |
17.1 MB |
ml-class/Video Lectures/09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 |
10.5 MB |
ml-class/Video Lectures/09.4-NeuralNetworksLearning-GradientChecking.mp4 |
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ml-class/Video Lectures/09.5-NeuralNetworksLearning-RandomInitialization.mp4 |
8 MB |
ml-class/Video Lectures/09.7-NeuralNetworksLearning-PuttingItTogether.mp4 |
17.9 MB |
ml-class/Video Lectures/09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 |
21.2 MB |
ml-class/Video Lectures/10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 |
7.6 MB |
ml-class/Video Lectures/10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 |
9.5 MB |
ml-class/Video Lectures/10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 |
16.1 MB |
ml-class/Video Lectures/10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 |
10.4 MB |
ml-class/Video Lectures/10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 |
13.9 MB |
ml-class/Video Lectures/10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 |
13.5 MB |
ml-class/Video Lectures/10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 |
8.9 MB |
ml-class/Video Lectures/11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 |
12.3 MB |
ml-class/Video Lectures/11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 |
16.9 MB |
ml-class/Video Lectures/11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 |
14.2 MB |
ml-class/Video Lectures/11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 |
17.3 MB |
ml-class/Video Lectures/11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 |
14 MB |
ml-class/Video Lectures/12.1-SupportVectorMachines-OptimizationObjective.mp4 |
17.8 MB |
ml-class/Video Lectures/12.2-SupportVectorMachines-LargeMarginIntuition.mp4 |
12.7 MB |
ml-class/Video Lectures/12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 |
22.9 MB |
ml-class/Video Lectures/12.4-SupportVectorMachines-KernelsI.mp4 |
18.7 MB |
ml-class/Video Lectures/12.5-SupportVectorMachines-KernelsII.mp4 |
18.3 MB |
ml-class/Video Lectures/12.6-SupportVectorMachines-UsingAnSVM.mp4 |
25.8 MB |
ml-class/Video Lectures/14.1-Clustering-UnsupervisedLearningIntroduction.mp4 |
4.1 MB |
ml-class/Video Lectures/14.2-Clustering-KMeansAlgorithm.mp4 |
15.4 MB |
ml-class/Video Lectures/14.3-Clustering-OptimizationObjective.mp4 |
8.8 MB |
ml-class/Video Lectures/14.4-Clustering-RandomInitialization.mp4 |
9.3 MB |
ml-class/Video Lectures/14.5-Clustering-ChoosingTheNumberOfClusters.mp4 |
10.1 MB |
ml-class/Video Lectures/15.1-DimensionalityReduction-MotivationIDataCompression.mp4 |
17.6 MB |
ml-class/Video Lectures/15.2-DimensionalityReduction-MotivationIIVisualization.mp4 |
6.9 MB |
ml-class/Video Lectures/15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4 |
11.4 MB |
ml-class/Video Lectures/15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4 |
19.4 MB |
ml-class/Video Lectures/15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4 |
12.5 MB |
ml-class/Video Lectures/15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4 |
5.9 MB |
ml-class/Video Lectures/15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4 |
15.8 MB |
ml-class/Video Lectures/16.1-AnomalyDetection-ProblemMotivation-V1.mp4 |
8.8 MB |
ml-class/Video Lectures/16.2-AnomalyDetection-GaussianDistribution.mp4 |
12.9 MB |
ml-class/Video Lectures/16.3-AnomalyDetection-Algorithm.mp4 |
15.3 MB |
ml-class/Video Lectures/16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4 |
16.9 MB |
ml-class/Video Lectures/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4 |
10.8 MB |
ml-class/Video Lectures/16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4 |
17.3 MB |
ml-class/Video Lectures/16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4 |
17.8 MB |
ml-class/Video Lectures/17.1-RecommenderSystems-ProblemFormulation.mp4 |
13.6 MB |
ml-class/Video Lectures/17.2-RecommenderSystems-ContentBasedRecommendations.mp4 |
18.7 MB |
ml-class/Video Lectures/17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4 |
13.1 MB |
ml-class/Video Lectures/17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4 |
11.4 MB |
ml-class/Video Lectures/17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4 |
10.5 MB |
ml-class/Video Lectures/18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4 |
7.1 MB |
ml-class/Video Lectures/18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4 |
16.4 MB |
ml-class/Video Lectures/18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4 |
8 MB |
ml-class/Video Lectures/18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4 |
14.4 MB |
ml-class/Video Lectures/18.5-LargeScaleMachineLearning-OnlineLearning.mp4 |
16 MB |
ml-class/Video Lectures/18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4 |
17.3 MB |
ml-class/Video Lectures/19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4 |
8.5 MB |
ml-class/Video Lectures/19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4 |
18 MB |
ml-class/Video Lectures/19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4 |
20.4 MB |
ml-class/Video Lectures/19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4 |
17.8 MB |
ml-class/Video Lectures/20.1-Conclusion-SummaryAndThankYou.mp4 |
4.5 MB |