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 |
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