정보기술 Machine Learning - Stanford Online Course.torrent
2014.11.30 12:11
Machine Learning - Stanford Online Course.torrent
Machine Learning - Stanford Online Course.torrent
Machine Learning - Stanford Online Course.torrent
Torrent Contents
| Machine Learning - Stanford | |
| Self-notes | |
| 08-10.txt | 109 B |
| 12-10.txt | 724 B |
| 22-11.txt | 18 B |
| Lecture1.pdf | 4 MB |
| Lecture10.pdf | 1 MB |
| Lecture11.pdf | 497 KB |
| Lecture12.pdf | 2 MB |
| Lecture13.pdf | 2 MB |
| Lecture14.pdf | 1 MB |
| Lecture15.pdf | 3 MB |
| Lecture16.pdf | 1 MB |
| Lecture2.pdf | 2 MB |
| Lecture3.pdf | 1 MB |
| Lecture4.pdf | 1 MB |
| Lecture6.pdf | 1 MB |
| Lecture7.pdf | 1 MB |
| Lecture8.pdf | 5 MB |
| Lecture9.pdf | 3 MB |
| octave_session.m | 5 KB |
| 01.2-V2-Introduction-WhatIsMachineLearning.mp4 | 30 MB |
| 01.3-V2-Introduction-SupervisedLearning.mp4 | 15 MB |
| 01.4-V2-Introduction-UnsupervisedLearning.mp4 | 38 MB |
| 02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 | 11 MB |
| 02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 | 13 MB |
| 02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 | 16 MB |
| 02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 | 31 MB |
| 02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 | 26 MB |
| 02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 | 18 MB |
| 02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 | 25 MB |
| 02.8-V2-What'sNext.mp4 | 7 MB |
| 03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 | 11 MB |
| 03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 | 9 MB |
| 03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 | 20 MB |
| 03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 | 22 MB |
| 03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 | 11 MB |
| 03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 | 24 MB |
| 04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 | 6 MB |
| 04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 | 5 MB |
| 04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 | 7 MB |
| 04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 | 6 MB |
| 04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 | 5 MB |
| 04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 | 13 MB |
| 04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 | 5 MB |
| 05.1-OctaveTutorial-BasicOperations.mp4 | 20 MB |
| 05.2-OctaveTutorial-MovingDataAround.mp4 | 25 MB |
| 05.3-OctaveTutorial-ComputingOnData.mp4 | 10 MB |
| 05.4-OctaveTutorial-PlottingData.mp4 | 11 MB |
| 05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 | 19 MB |
| 05.6-OctaveTutorial-Vectorization.mp4 | 16 MB |
| 05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 | 7 MB |
| 06.1-LogisticRegression-Classification.mp4 | 8 MB |
| 06.2-LogisticRegression-HypothesisRepresentation.mp4 | 8 MB |
| 06.3-LogisticRegression-DecisionBoundary.mp4 | 17 MB |
| 06.4-LogisticRegression-CostFunction.mp4 | 14 MB |
| 06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 | 13 MB |
| 06.6-LogisticRegression-AdvancedOptimization.mp4 | 21 MB |
| 06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 | 7 MB |
| 07.1-Regularization-TheProblemOfOverfitting.mp4 | 11 MB |
| 07.2-Regularization-CostFunction.mp4 | 12 MB |
| 07.3-Regularization-RegularizedLinearRegression.mp4 | 12 MB |
| 07.4-Regularization-RegularizedLogisticRegression.mp4 | 13 MB |
| 08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 | 11 MB |
| 08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 | 11 MB |
| 08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 | 14 MB |
| 08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 | 14 MB |
| 08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 | 8 MB |
| 08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 | 16 MB |
| 08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 | 5 MB |
| 09.1-NeuralNetworksLearning-CostFunction.mp4 | 8 MB |
| 09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 | 15 MB |
| 09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 | 17 MB |
| 09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 | 10 MB |
| 09.4-NeuralNetworksLearning-GradientChecking.mp4 | 14 MB |
| 09.5-NeuralNetworksLearning-RandomInitialization.mp4 | 7 MB |
| 09.7-NeuralNetworksLearning-PuttingItTogether.mp4 | 17 MB |
| 09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 | 21 MB |
| 10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 | 7 MB |
| 10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 | 9 MB |
| 10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 | 16 MB |
| 10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 | 10 MB |
| 10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 | 13 MB |
| 10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 | 13 MB |
| 10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 | 8 MB |
| 11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 | 12 MB |
| 11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 | 16 MB |
| 11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 | 14 MB |
| 11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 | 17 MB |
| 11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 | 13 MB |
| 12.1-SupportVectorMachines-OptimizationObjective.mp4 | 17 MB |
| 12.2-SupportVectorMachines-LargeMarginIntuition.mp4 | 12 MB |
| 12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 | 22 MB |
| 12.4-SupportVectorMachines-KernelsI.mp4 | 18 MB |
| 12.5-SupportVectorMachines-KernelsII.mp4 | 18 MB |
| 12.6-SupportVectorMachines-UsingAnSVM.mp4 | 25 MB |
| 14.1-Clustering-UnsupervisedLearningIntroduction.mp4 | 4 MB |
| 14.2-Clustering-KMeansAlgorithm.mp4 | 14 MB |
| 14.3-Clustering-OptimizationObjective.mp4 | 8 MB |
| 14.4-Clustering-RandomInitialization.mp4 | 9 MB |
| 14.5-Clustering-ChoosingTheNumberOfClusters.mp4 | 10 MB |
| 15.1-DimensionalityReduction-MotivationIDataCompression.mp4 | 17 MB |
| 15.2-DimensionalityReduction-MotivationIIVisualization.mp4 | 6 MB |
| 15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4 | 11 MB |
| 15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4 | 19 MB |
| 15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4 | 12 MB |
| 15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4 | 5 MB |
| 15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4 | 15 MB |
| 16.1-AnomalyDetection-ProblemMotivation-V1.mp4 | 8 MB |
| 16.2-AnomalyDetection-GaussianDistribution.mp4 | 12 MB |
| 16.3-AnomalyDetection-Algorithm.mp4 | 15 MB |
| 16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4 | 16 MB |
| 16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4 | 10 MB |
| 16.6-AnomalyDetection-ChoosingWhatFeaturesToUse.mp4 | 15 MB |
| 16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4 | 17 MB |
| 16.8-AnomalyDetection-AnomalyDetectionUsing...ltivariateGaussianDistribution-OPTIONAL.mp4 | 17 MB |
| 17.1-RecommenderSystems-ProblemFormulation.mp4 | 13 MB |
| 17.2-RecommenderSystems-ContentBasedRecommendations.mp4 | 18 MB |
| 17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4 | 13 MB |
| 17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4 | 11 MB |
| 17.5-RecommenderSystems-VectorizationLowRankMatrixFactorization.mp4 | 10 MB |
| 17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4 | 10 MB |
| 18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4 | 7 MB |
| 18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4 | 16 MB |
| 18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4 | 7 MB |
| 18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4 | 14 MB |
| 18.5-LargeScaleMachineLearning-OnlineLearning.mp4 | 15 MB |
| 18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4 | 17 MB |
| 19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4 | 8 MB |
| 19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4 | 10 MB |
| 19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4 | 8 MB |
| 19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4 | 10 MB |
| 20.1-Conclusion-SummaryAndThankYou.mp4 | 4 MB |
| Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe | 69 MB |
본 웹사이트는 광고를 포함하고 있습니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
