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Machine Learning - Stanford

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
2011-12-28 18:22 2024-2-11 12:30 61 1.62 GB 113
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Machine Learning - Stanford

文件列表
  1. 01.2-V2-Introduction-WhatIsMachineLearning.mp430.4MB
  2. 01.3-V2-Introduction-SupervisedLearning.mp415.45MB
  3. 01.4-V2-Introduction-UnsupervisedLearning.mp438.56MB
  4. 02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp411.61MB
  5. 02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp413.08MB
  6. 02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp416.3MB
  7. 02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp431.62MB
  8. 02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp427MB
  9. 02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp418.92MB
  10. 02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp425.47MB
  11. 02.8-V2-What'sNext.mp47.3MB
  12. 03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp411.92MB
  13. 03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp49.22MB
  14. 03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp420.23MB
  15. 03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp422.35MB
  16. 03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp411.77MB
  17. 03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp424.6MB
  18. 04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp46.13MB
  19. 04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp45.9MB
  20. 04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp47.58MB
  21. 04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp46.86MB
  22. 04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp45.74MB
  23. 04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp413.34MB
  24. 04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp45.18MB
  25. 05.1-OctaveTutorial-BasicOperations.mp420.69MB
  26. 05.2-OctaveTutorial-MovingDataAround.mp425.42MB
  27. 05.3-OctaveTutorial-ComputingOnData.mp410.37MB
  28. 05.4-OctaveTutorial-PlottingData.mp411.31MB
  29. 05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp419.69MB
  30. 05.6-OctaveTutorial-Vectorization.mp416.83MB
  31. 05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp47.25MB
  32. 06.1-LogisticRegression-Classification.mp48.73MB
  33. 06.2-LogisticRegression-HypothesisRepresentation.mp48.81MB
  34. 06.3-LogisticRegression-DecisionBoundary.mp417.51MB
  35. 06.4-LogisticRegression-CostFunction.mp414.11MB
  36. 06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp413.07MB
  37. 06.6-LogisticRegression-AdvancedOptimization.mp421.59MB
  38. 06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp47.29MB
  39. 07.1-Regularization-TheProblemOfOverfitting.mp411.96MB
  40. 07.2-Regularization-CostFunction.mp412.43MB
  41. 07.3-Regularization-RegularizedLinearRegression.mp412.77MB
  42. 07.4-Regularization-RegularizedLogisticRegression.mp413.5MB
  43. 08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp411.53MB
  44. 08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp411.47MB
  45. 08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37MB
  46. 08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41MB
  47. 08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp48.29MB
  48. 08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84MB
  49. 08.7-NeuralNetworksRepresentation-MultiClassClassification.mp45.41MB
  50. 09.1-NeuralNetworksLearning-CostFunction.mp48.1MB
  51. 09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07MB
  52. 09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14MB
  53. 09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp410.54MB
  54. 09.4-NeuralNetworksLearning-GradientChecking.mp414.76MB
  55. 09.5-NeuralNetworksLearning-RandomInitialization.mp47.95MB
  56. 09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88MB
  57. 09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25MB
  58. 10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp47.58MB
  59. 10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp49.52MB
  60. 10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp416.13MB
  61. 10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp410.42MB
  62. 10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp413.87MB
  63. 10.6-AdviceForApplyingMachineLearning-LearningCurves.mp413.54MB
  64. 10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp48.94MB
  65. 11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp412.32MB
  66. 11.2-MachineLearningSystemDesign-ErrorAnalysis.mp416.94MB
  67. 11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp414.24MB
  68. 11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp417.29MB
  69. 11.5-MachineLearningSystemDesign-DataForMachineLearning.mp413.98MB
  70. 12.1-SupportVectorMachines-OptimizationObjective.mp417.77MB
  71. 12.2-SupportVectorMachines-LargeMarginIntuition.mp412.66MB
  72. 12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp422.91MB
  73. 12.4-SupportVectorMachines-KernelsI.mp418.74MB
  74. 12.5-SupportVectorMachines-KernelsII.mp418.31MB
  75. 12.6-SupportVectorMachines-UsingAnSVM.mp425.76MB
  76. 14.1-Clustering-UnsupervisedLearningIntroduction.mp44.12MB
  77. 14.2-Clustering-KMeansAlgorithm.mp414.67MB
  78. 14.3-Clustering-OptimizationObjective.mp48.78MB
  79. 14.4-Clustering-RandomInitialization.mp49.31MB
  80. 14.5-Clustering-ChoosingTheNumberOfClusters.mp410.11MB
  81. 15.1-DimensionalityReduction-MotivationIDataCompression.mp417.63MB
  82. 15.2-DimensionalityReduction-MotivationIIVisualization.mp46.91MB
  83. 15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp411.4MB
  84. 15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp419.4MB
  85. 15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp412.47MB
  86. 15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp45.93MB
  87. 15.7-DimensionalityReduction-AdviceForApplyingPCA.mp415.8MB
  88. 16.1-AnomalyDetection-ProblemMotivation-V1.mp48.83MB
  89. 16.2-AnomalyDetection-GaussianDistribution.mp412.88MB
  90. 16.3-AnomalyDetection-Algorithm.mp415.3MB
  91. 16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp416.92MB
  92. 16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp410.79MB
  93. 16.6-AnomalyDetection-ChoosingWhatFeaturesToUse.mp415.43MB
  94. 16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp417.27MB
  95. 16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp417.75MB
  96. 17.1-RecommenderSystems-ProblemFormulation.mp413.65MB
  97. 17.2-RecommenderSystems-ContentBasedRecommendations.mp418.73MB
  98. 17.3-RecommenderSystems-CollaborativeFiltering-V1.mp413.1MB
  99. 17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp411.44MB
  100. 17.5-RecommenderSystems-VectorizationLowRankMatrixFactorization.mp410.45MB
  101. 17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp410.46MB
  102. 18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp47.12MB
  103. 18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp416.4MB
  104. 18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp47.99MB
  105. 18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp414.41MB
  106. 18.5-LargeScaleMachineLearning-OnlineLearning.mp415.96MB
  107. 18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp417.3MB
  108. 19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp48.54MB
  109. 19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp410.1MB
  110. 19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp48.53MB
  111. 19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp410.64MB
  112. 20.1-Conclusion-SummaryAndThankYou.mp44.52MB
  113. Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe69.61MB
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