文件列表183
- Octave.Workshop.Installer.exe 117.11 MB
- Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe 69.61 MB
- Video Lectures12.6-SupportVectorMachines-UsingAnSVM.mp4 25.76 MB
- Video Lectures05.2-OctaveTutorial-MovingDataAround.mp4 25.42 MB
- Video Lectures12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 22.91 MB
- Video Lectures06.6-LogisticRegression-AdvancedOptimization.mp4 21.59 MB
- Video Lectures09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 21.25 MB
- Video Lectures05.1-OctaveTutorial-BasicOperations.mp4 20.69 MB
- Video Lectures19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4 20.4 MB
- Video Lectures05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 19.69 MB
- Video Lectures15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4 19.4 MB
- Video Lectures12.4-SupportVectorMachines-KernelsI.mp4 18.74 MB
- Video Lectures17.2-RecommenderSystems-ContentBasedRecommendations.mp4 18.73 MB
- Video Lectures12.5-SupportVectorMachines-KernelsII.mp4 18.31 MB
- Video Lectures01.4-V2-Introduction-UnsupervisedLearning.mp4 18.17 MB
- Video Lectures19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4 18.04 MB
- Video Lectures09.7-NeuralNetworksLearning-PuttingItTogether.mp4 17.88 MB
- Video Lectures19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4 17.83 MB
- Video Lectures12.1-SupportVectorMachines-OptimizationObjective.mp4 17.77 MB
- Video Lectures16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4 17.75 MB
- Video Lectures15.1-DimensionalityReduction-MotivationIDataCompression.mp4 17.63 MB
- Video Lectures06.3-LogisticRegression-DecisionBoundary.mp4 17.51 MB
- Video Lectures18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4 17.3 MB
- Video Lectures11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 17.29 MB
- Video Lectures16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4 17.27 MB
- Video Lectures09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 17.14 MB
- Video Lectures11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 16.94 MB
- Video Lectures16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4 16.92 MB
- Video Lectures08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 16.84 MB
- Video Lectures05.6-OctaveTutorial-Vectorization.mp4 16.83 MB
- Video Lectures18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4 16.4 MB
- Video Lectures10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 16.13 MB
- Video Lectures01.1-V3-Introduction-Welcome.mp4 16.05 MB
- Video Lectures18.5-LargeScaleMachineLearning-OnlineLearning.mp4 15.96 MB
- Video Lectures03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 15.9 MB
- Video Lectures15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4 15.8 MB
- Video Lectures14.2-Clustering-KMeansAlgorithm.mp4 15.36 MB
- Video Lectures16.3-AnomalyDetection-Algorithm.mp4 15.3 MB
- Video Lectures09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 15.07 MB
- Video Lectures02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 14.93 MB
- Video Lectures09.4-NeuralNetworksLearning-GradientChecking.mp4 14.76 MB
- Video Lectures08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 14.41 MB
- Video Lectures18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4 14.41 MB
- Video Lectures08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 14.37 MB
- Video Lectures11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 14.24 MB
- Video Lectures03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 14.13 MB
- Video Lectures06.4-LogisticRegression-CostFunction.mp4 14.11 MB
- Video Lectures11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 13.98 MB
- Video Lectures02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 13.92 MB
- Video Lectures02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 13.91 MB
