ml-class

Creation Time	Jan. 9, 2023, 8:19 a.m.
Last Access Time	Oct. 24, 2026, 9:31 a.m.
File Size	1.8 GB
Keywords	ml-class
Total Requests	1203
Total Files	183
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Octave.Workshop.Installer.exe 117.1 MB
Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe 69.6 MB
Video Lectures/12.6-SupportVectorMachines-UsingAnSVM.mp4 25.8 MB
Video Lectures/05.2-OctaveTutorial-MovingDataAround.mp4 25.4 MB
Video Lectures/12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 22.9 MB
Video Lectures/06.6-LogisticRegression-AdvancedOptimization.mp4 21.6 MB
Video Lectures/09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 21.2 MB
Video Lectures/05.1-OctaveTutorial-BasicOperations.mp4 20.7 MB
Video Lectures/19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4 20.4 MB
Video Lectures/05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 19.7 MB
Video Lectures/15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4 19.4 MB
Video Lectures/12.4-SupportVectorMachines-KernelsI.mp4 18.7 MB
Video Lectures/17.2-RecommenderSystems-ContentBasedRecommendations.mp4 18.7 MB
Video Lectures/12.5-SupportVectorMachines-KernelsII.mp4 18.3 MB
Video Lectures/01.4-V2-Introduction-UnsupervisedLearning.mp4 18.2 MB
Video Lectures/19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4 18.0 MB
Video Lectures/09.7-NeuralNetworksLearning-PuttingItTogether.mp4 17.9 MB
Video Lectures/19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4 17.8 MB
Video Lectures/12.1-SupportVectorMachines-OptimizationObjective.mp4 17.8 MB
Video Lectures/16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4 17.8 MB
Video Lectures/15.1-DimensionalityReduction-MotivationIDataCompression.mp4 17.6 MB
Video Lectures/06.3-LogisticRegression-DecisionBoundary.mp4 17.5 MB
Video Lectures/18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4 17.3 MB
Video Lectures/11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 17.3 MB
Video Lectures/16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4 17.3 MB
Video Lectures/09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 17.1 MB
Video Lectures/11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 16.9 MB
Video Lectures/16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4 16.9 MB
Video Lectures/08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 16.8 MB
Video Lectures/05.6-OctaveTutorial-Vectorization.mp4 16.8 MB
Video Lectures/18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4 16.4 MB
Video Lectures/10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 16.1 MB
Video Lectures/01.1-V3-Introduction-Welcome.mp4 16.1 MB
Video Lectures/18.5-LargeScaleMachineLearning-OnlineLearning.mp4 16.0 MB
Video Lectures/03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 15.9 MB
Video Lectures/15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4 15.8 MB
Video Lectures/14.2-Clustering-KMeansAlgorithm.mp4 15.4 MB
Video Lectures/16.3-AnomalyDetection-Algorithm.mp4 15.3 MB
Video Lectures/09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 15.1 MB
Video Lectures/02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 14.9 MB
Video Lectures/09.4-NeuralNetworksLearning-GradientChecking.mp4 14.8 MB
Video Lectures/08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 14.4 MB
Video Lectures/18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4 14.4 MB
Video Lectures/08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 14.4 MB
Video Lectures/11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 14.2 MB
Video Lectures/03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 14.1 MB
Video Lectures/06.4-LogisticRegression-CostFunction.mp4 14.1 MB
Video Lectures/11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 14.0 MB
Video Lectures/02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 13.9 MB
Video Lectures/02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 13.9 MB
Video Lectures/10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 13.9 MB
Video Lectures/03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 13.8 MB
Video Lectures/17.1-RecommenderSystems-ProblemFormulation.mp4 13.6 MB
Video Lectures/01.3-V2-Introduction-SupervisedLearning.mp4 13.6 MB
Video Lectures/02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 13.5 MB
Video Lectures/10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 13.5 MB
Video Lectures/07.4-Regularization-RegularizedLogisticRegression.mp4 13.5 MB
Video Lectures/04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 13.3 MB
Video Lectures/17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4 13.1 MB
Video Lectures/06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 13.1 MB
Video Lectures/02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 12.9 MB
Video Lectures/16.2-AnomalyDetection-GaussianDistribution.mp4 12.9 MB
Video Lectures/07.3-Regularization-RegularizedLinearRegression.mp4 12.8 MB
Video Lectures/12.2-SupportVectorMachines-LargeMarginIntuition.mp4 12.7 MB
Video Lectures/15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4 12.5 MB
Video Lectures/07.2-Regularization-CostFunction.mp4 12.4 MB
Video Lectures/11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 12.3 MB
Video Lectures/07.1-Regularization-TheProblemOfOverfitting.mp4 12.0 MB
Video Lectures/08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 11.5 MB
Video Lectures/08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 11.5 MB
Video Lectures/01.2-V2-Introduction-WhatIsMachineLearning.mp4 11.4 MB
Video Lectures/17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4 11.4 MB
Video Lectures/15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4 11.4 MB
Video Lectures/05.4-OctaveTutorial-PlottingData.mp4 11.3 MB
Programming Exercises/mlclass-ex7.zip 11.1 MB
MSBNx.exe 10.9 MB
Video Lectures/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4 10.8 MB
Video Lectures/09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 10.5 MB
Video Lectures/17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4 10.5 MB
Video Lectures/10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 10.4 MB
Video Lectures/05.3-OctaveTutorial-ComputingOnData.mp4 10.4 MB
Programming Exercises (completed)/mlclass-ex7.rar 10.3 MB
Video Lectures/03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 10.2 MB
Video Lectures/14.5-Clustering-ChoosingTheNumberOfClusters.mp4 10.1 MB
Video Lectures/03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 9.8 MB
Video Lectures/02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 9.6 MB
Video Lectures/10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 9.5 MB
Video Lectures/02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 9.5 MB
Video Lectures/14.4-Clustering-RandomInitialization.mp4 9.3 MB
Video Lectures/10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 8.9 MB
Video Lectures/16.1-AnomalyDetection-ProblemMotivation-V1.mp4 8.8 MB
Video Lectures/06.2-LogisticRegression-HypothesisRepresentation.mp4 8.8 MB
Video Lectures/14.3-Clustering-OptimizationObjective.mp4 8.8 MB
Video Lectures/06.1-LogisticRegression-Classification.mp4 8.7 MB
Video Lectures/19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4 8.5 MB
Video Lectures/08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 8.3 MB
Video Lectures/09.1-NeuralNetworksLearning-CostFunction.mp4 8.1 MB
Video Lectures/18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4 8.0 MB
Video Lectures/09.5-NeuralNetworksLearning-RandomInitialization.mp4 8.0 MB
Video Lectures/03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 7.9 MB
Programming Exercises/mlclass-ex4.zip 7.6 MB
Video Lectures/10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 7.6 MB
Video Lectures/04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 7.6 MB
Programming Exercises/mlclass-ex3.zip 7.5 MB
Video Lectures/06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 7.3 MB
Programming Exercises (completed)/mlclass-ex4.rar 7.3 MB
Programming Exercises (completed)/mlclass-ex3.rar 7.3 MB
Video Lectures/05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 7.2 MB
Lecture Slides/Lecture11.pptx 7.2 MB
Video Lectures/18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4 7.1 MB
Video Lectures/15.2-DimensionalityReduction-MotivationIIVisualization.mp4 6.9 MB
Video Lectures/04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 6.9 MB
Lecture Slides/Lecture8.pptx 6.3 MB
Lecture Slides/Lecture18.pptx 6.1 MB
Video Lectures/04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 6.1 MB
Video Lectures/02.8-V2-What'sNext.mp4 6.1 MB
Lecture Slides/Lecture15.pptx 6.0 MB
Video Lectures/15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4 5.9 MB
Video Lectures/04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 5.7 MB
Video Lectures/08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 5.4 MB
Lecture Slides/Lecture12.pptx 5.4 MB
Lecture Slides/Lecture2.pptx 5.4 MB
Lecture Slides/Lecture8.pdf 5.2 MB
Video Lectures/04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 5.2 MB
Lecture Slides/Lecture9.pptx 5.0 MB
Lecture Slides/Lecture3.pptx 4.9 MB
Video Lectures/04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 4.7 MB
Lecture Slides/Lecture1.pdf 4.7 MB
Lecture Slides/Lecture1.pptx 4.5 MB
Video Lectures/20.1-Conclusion-SummaryAndThankYou.mp4 4.5 MB
Lecture Slides/Lecture4.pptx 4.4 MB
Video Lectures/14.1-Clustering-UnsupervisedLearningIntroduction.mp4 4.1 MB
Lecture Slides/Lecture17.pptx 3.8 MB
Lecture Slides/Lecture14.pptx 3.6 MB
Lecture Slides/Lecture16.pptx 3.6 MB
Lecture Slides/Lecture9.pdf 3.4 MB
Lecture Slides/Lecture10.pptx 3.4 MB
Lecture Slides/Lecture15.pdf 3.3 MB
Lecture Slides/Lecture6.pptx 3.2 MB
Lecture Slides/Lecture2.pdf 2.9 MB
Lecture Slides/Lecture13.pptx 2.8 MB
Lecture Slides/Lecture7.pptx 2.6 MB
Lecture Slides/Lecture12.pdf 2.3 MB
Lecture Slides/Lecture13.pdf 2.2 MB
Lecture Slides/Lecture17.pdf 2.0 MB
Lecture Slides/Lecture18.pdf 2.0 MB
Lecture Slides/Lecture3.pdf 1.8 MB
Lecture Slides/Lecture6.pdf 1.8 MB
Lecture Slides/Lecture4.pdf 1.7 MB
Lecture Slides/Lecture14.pdf 1.6 MB
Lecture Slides/Lecture10.pdf 1.5 MB
Lecture Slides/Lecture16.pdf 1.4 MB
Lecture Slides/Lecture7.pdf 1.4 MB
Lecture Slides/Lecture11.pdf 1.2 MB
Programming Exercises/mlclass-ex6.zip 894.2 KB
Programming Exercises/mlclass-ex8.zip 792.4 KB
Review Questions/12 - Support Vector Machines.mht 659.6 KB
Programming Exercises (completed)/mlclass-ex6.rar 568.5 KB
Programming Exercises (completed)/mlclass-ex8.rar 546.9 KB
Review Questions/08 - Neural Networks - Representation.mht 468.1 KB
Programming Exercises/mlclass-ex1.zip 462.7 KB
Review Questions/18 - Application Example - Photo OCR.mht 451.1 KB
Review Questions/14 - Dimensionality Reduction.mht 438.8 KB
Review Questions/15 - Anomaly Detection.mht 353.3 KB
Review Questions/07 - Regularization.mht 351.7 KB
Review Questions/06 - Logistic Regression.mht 349.3 KB
Review Questions/10 - Advice for Applying Machine Learning.mht 321.7 KB
Review Questions/16 - Recommender Systems.mht 316.6 KB
Review Questions/03 - Linear Algebra.mht 310.0 KB
Review Questions/02 - Linear regression with one variable.mht 307.7 KB
Review Questions/09 - Neural Networks - Learning.mht 304.1 KB
Review Questions/04 - Linear Regression with Multiple Variables.mht 302.4 KB
Review Questions/17 - Large Scale Machine Learning.mht 300.2 KB
Review Questions/13 - Clustering.mht 298.4 KB
Review Questions/11 - Machine Learning System Design.mht 296.4 KB
Review Questions/05 - Octave Tutorial.mht 293.4 KB
Review Questions/01 - Introduction.mht 284.7 KB
Programming Exercises/mlclass-ex2.zip 240.0 KB
Programming Exercises/mlclass-ex5.zip 126.3 KB
Programming Exercises (completed)/mlclass-ex5.rar 16.4 KB
Programming Exercises (completed)/mlclass-ex2.rar 15.2 KB
Programming Exercises (completed)/mlclass-ex1.rar 11.0 KB
Lecture Slides/octave_session.m 5.2 KB

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