ml-class
- Octave.Workshop.Installer.exe117.11 MB
- Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe69.61 MB
- Video Lectures12.6-SupportVectorMachines-UsingAnSVM.mp425.76 MB
- Video Lectures05.2-OctaveTutorial-MovingDataAround.mp425.42 MB
- Video Lectures12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp422.91 MB
- Video Lectures06.6-LogisticRegression-AdvancedOptimization.mp421.59 MB
- Video Lectures09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25 MB
- Video Lectures05.1-OctaveTutorial-BasicOperations.mp420.69 MB
- Video Lectures19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp420.4 MB
- Video Lectures05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp419.69 MB
- Video Lectures15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp419.4 MB
- Video Lectures12.4-SupportVectorMachines-KernelsI.mp418.74 MB
- Video Lectures17.2-RecommenderSystems-ContentBasedRecommendations.mp418.73 MB
- Video Lectures12.5-SupportVectorMachines-KernelsII.mp418.31 MB
- Video Lectures01.4-V2-Introduction-UnsupervisedLearning.mp418.17 MB
- Video Lectures19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp418.04 MB
- Video Lectures09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88 MB
- Video Lectures19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp417.83 MB
- Video Lectures12.1-SupportVectorMachines-OptimizationObjective.mp417.77 MB
- Video Lectures16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp417.75 MB
- Video Lectures15.1-DimensionalityReduction-MotivationIDataCompression.mp417.63 MB
- Video Lectures06.3-LogisticRegression-DecisionBoundary.mp417.51 MB
- Video Lectures18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp417.3 MB
- Video Lectures11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp417.29 MB
- Video Lectures16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp417.27 MB
- Video Lectures09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14 MB
- Video Lectures11.2-MachineLearningSystemDesign-ErrorAnalysis.mp416.94 MB
- Video Lectures16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp416.92 MB
- Video Lectures08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84 MB
- Video Lectures05.6-OctaveTutorial-Vectorization.mp416.83 MB
- Video Lectures18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp416.4 MB
- Video Lectures10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp416.13 MB
- Video Lectures01.1-V3-Introduction-Welcome.mp416.05 MB
- Video Lectures18.5-LargeScaleMachineLearning-OnlineLearning.mp415.96 MB
- Video Lectures03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp415.9 MB
- Video Lectures15.7-DimensionalityReduction-AdviceForApplyingPCA.mp415.8 MB
- Video Lectures14.2-Clustering-KMeansAlgorithm.mp415.36 MB
- Video Lectures16.3-AnomalyDetection-Algorithm.mp415.3 MB
- Video Lectures09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07 MB
- Video Lectures02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp414.93 MB
- Video Lectures09.4-NeuralNetworksLearning-GradientChecking.mp414.76 MB
- Video Lectures08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41 MB
- Video Lectures18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp414.41 MB
- Video Lectures08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37 MB
- Video Lectures11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp414.24 MB
- Video Lectures03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp414.13 MB
- Video Lectures06.4-LogisticRegression-CostFunction.mp414.11 MB
- Video Lectures11.5-MachineLearningSystemDesign-DataForMachineLearning.mp413.98 MB
- Video Lectures02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp413.92 MB
- Video Lectures02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp413.91 MB