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ml-class

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