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ml-class

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
2011-12-20 21:15 2024-9-29 07:04 98 1.78 GB 130
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ml-class

文件列表
  1. MSBNx.exe10.9MB
  2. Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe69.61MB
  3. Octave.Workshop.Installer.exe117.11MB
  4. Programming Exercises (completed)/mlclass-ex1.rar10.98KB
  5. Programming Exercises (completed)/mlclass-ex2.rar15.25KB
  6. Programming Exercises (completed)/mlclass-ex3.rar7.25MB
  7. Programming Exercises (completed)/mlclass-ex4.rar7.26MB
  8. Programming Exercises (completed)/mlclass-ex5.rar16.36KB
  9. Programming Exercises (completed)/mlclass-ex6.rar568.51KB
  10. Programming Exercises (completed)/mlclass-ex7.rar10.28MB
  11. Programming Exercises (completed)/mlclass-ex8.rar546.91KB
  12. Programming Exercises/mlclass-ex1.zip462.67KB
  13. Programming Exercises/mlclass-ex2.zip239.96KB
  14. Programming Exercises/mlclass-ex3.zip7.54MB
  15. Programming Exercises/mlclass-ex4.zip7.59MB
  16. Programming Exercises/mlclass-ex5.zip126.29KB
  17. Programming Exercises/mlclass-ex6.zip894.24KB
  18. Programming Exercises/mlclass-ex7.zip11.05MB
  19. Programming Exercises/mlclass-ex8.zip792.41KB
  20. Video Lectures/01.1-V3-Introduction-Welcome.mp416.05MB
  21. Video Lectures/01.2-V2-Introduction-WhatIsMachineLearning.mp411.44MB
  22. Video Lectures/01.3-V2-Introduction-SupervisedLearning.mp413.65MB
  23. Video Lectures/01.4-V2-Introduction-UnsupervisedLearning.mp418.17MB
  24. Video Lectures/02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp49.49MB
  25. Video Lectures/02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp49.63MB
  26. Video Lectures/02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp412.91MB
  27. Video Lectures/02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp413.92MB
  28. Video Lectures/02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp414.93MB
  29. Video Lectures/02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp413.91MB
  30. Video Lectures/02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp413.55MB
  31. Video Lectures/02.8-V2-What'sNext.mp46.09MB
  32. Video Lectures/03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp49.79MB
  33. Video Lectures/03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp47.85MB
  34. Video Lectures/03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp415.9MB
  35. Video Lectures/03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp413.81MB
  36. Video Lectures/03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp410.16MB
  37. Video Lectures/03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp414.13MB
  38. Video Lectures/04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp46.13MB
  39. Video Lectures/04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp44.74MB
  40. Video Lectures/04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp47.58MB
  41. Video Lectures/04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp46.86MB
  42. Video Lectures/04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp45.74MB
  43. Video Lectures/04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp413.34MB
  44. Video Lectures/04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp45.18MB
  45. Video Lectures/05.1-OctaveTutorial-BasicOperations.mp420.69MB
  46. Video Lectures/05.2-OctaveTutorial-MovingDataAround.mp425.42MB
  47. Video Lectures/05.3-OctaveTutorial-ComputingOnData.mp410.37MB
  48. Video Lectures/05.4-OctaveTutorial-PlottingData.mp411.31MB
  49. Video Lectures/05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp419.69MB
  50. Video Lectures/05.6-OctaveTutorial-Vectorization.mp416.83MB
  51. Video Lectures/05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp47.25MB
  52. Video Lectures/06.1-LogisticRegression-Classification.mp48.73MB
  53. Video Lectures/06.2-LogisticRegression-HypothesisRepresentation.mp48.81MB
  54. Video Lectures/06.3-LogisticRegression-DecisionBoundary.mp417.51MB
  55. Video Lectures/06.4-LogisticRegression-CostFunction.mp414.11MB
  56. Video Lectures/06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp413.07MB
  57. Video Lectures/06.6-LogisticRegression-AdvancedOptimization.mp421.59MB
  58. Video Lectures/06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp47.29MB
  59. Video Lectures/07.1-Regularization-TheProblemOfOverfitting.mp411.96MB
  60. Video Lectures/07.2-Regularization-CostFunction.mp412.43MB
  61. Video Lectures/07.3-Regularization-RegularizedLinearRegression.mp412.77MB
  62. Video Lectures/07.4-Regularization-RegularizedLogisticRegression.mp413.5MB
  63. Video Lectures/08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp411.53MB
  64. Video Lectures/08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp411.47MB
  65. Video Lectures/08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37MB
  66. Video Lectures/08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41MB
  67. Video Lectures/08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp48.29MB
  68. Video Lectures/08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84MB
  69. Video Lectures/08.7-NeuralNetworksRepresentation-MultiClassClassification.mp45.41MB
  70. Video Lectures/09.1-NeuralNetworksLearning-CostFunction.mp48.1MB
  71. Video Lectures/09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07MB
  72. Video Lectures/09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14MB
  73. Video Lectures/09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp410.54MB
  74. Video Lectures/09.4-NeuralNetworksLearning-GradientChecking.mp414.76MB
  75. Video Lectures/09.5-NeuralNetworksLearning-RandomInitialization.mp47.95MB
  76. Video Lectures/09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88MB
  77. Video Lectures/09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25MB
  78. Video Lectures/10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp47.58MB
  79. Video Lectures/10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp49.52MB
  80. Video Lectures/10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp416.13MB
  81. Video Lectures/10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp410.42MB
  82. Video Lectures/10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp413.87MB
  83. Video Lectures/10.6-AdviceForApplyingMachineLearning-LearningCurves.mp413.54MB
  84. Video Lectures/10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp48.94MB
  85. Video Lectures/11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp412.32MB
  86. Video Lectures/11.2-MachineLearningSystemDesign-ErrorAnalysis.mp416.94MB
  87. Video Lectures/11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp414.24MB
  88. Video Lectures/11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp417.29MB
  89. Video Lectures/11.5-MachineLearningSystemDesign-DataForMachineLearning.mp413.98MB
  90. Video Lectures/12.1-SupportVectorMachines-OptimizationObjective.mp417.77MB
  91. Video Lectures/12.2-SupportVectorMachines-LargeMarginIntuition.mp412.66MB
  92. Video Lectures/12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp422.91MB
  93. Video Lectures/12.4-SupportVectorMachines-KernelsI.mp418.74MB
  94. Video Lectures/12.5-SupportVectorMachines-KernelsII.mp418.31MB
  95. Video Lectures/12.6-SupportVectorMachines-UsingAnSVM.mp425.76MB
  96. Video Lectures/14.1-Clustering-UnsupervisedLearningIntroduction.mp44.12MB
  97. Video Lectures/14.2-Clustering-KMeansAlgorithm.mp415.36MB
  98. Video Lectures/14.3-Clustering-OptimizationObjective.mp48.78MB
  99. Video Lectures/14.4-Clustering-RandomInitialization.mp49.31MB
  100. Video Lectures/14.5-Clustering-ChoosingTheNumberOfClusters.mp410.11MB
  101. Video Lectures/15.1-DimensionalityReduction-MotivationIDataCompression.mp417.63MB
  102. Video Lectures/15.2-DimensionalityReduction-MotivationIIVisualization.mp46.91MB
  103. Video Lectures/15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp411.4MB
  104. Video Lectures/15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp419.4MB
  105. Video Lectures/15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp412.47MB
  106. Video Lectures/15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp45.93MB
  107. Video Lectures/15.7-DimensionalityReduction-AdviceForApplyingPCA.mp415.8MB
  108. Video Lectures/16.1-AnomalyDetection-ProblemMotivation-V1.mp48.83MB
  109. Video Lectures/16.2-AnomalyDetection-GaussianDistribution.mp412.88MB
  110. Video Lectures/16.3-AnomalyDetection-Algorithm.mp415.3MB
  111. Video Lectures/16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp416.92MB
  112. Video Lectures/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp410.79MB
  113. Video Lectures/16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp417.27MB
  114. Video Lectures/16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp417.75MB
  115. Video Lectures/17.1-RecommenderSystems-ProblemFormulation.mp413.65MB
  116. Video Lectures/17.2-RecommenderSystems-ContentBasedRecommendations.mp418.73MB
  117. Video Lectures/17.3-RecommenderSystems-CollaborativeFiltering-V1.mp413.1MB
  118. Video Lectures/17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp411.44MB
  119. Video Lectures/17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp410.46MB
  120. Video Lectures/18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp47.12MB
  121. Video Lectures/18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp416.4MB
  122. Video Lectures/18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp47.99MB
  123. Video Lectures/18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp414.41MB
  124. Video Lectures/18.5-LargeScaleMachineLearning-OnlineLearning.mp415.96MB
  125. Video Lectures/18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp417.3MB
  126. Video Lectures/19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp48.54MB
  127. Video Lectures/19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp418.04MB
  128. Video Lectures/19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp420.4MB
  129. Video Lectures/19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp417.83MB
  130. Video Lectures/20.1-Conclusion-SummaryAndThankYou.mp44.52MB
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