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ml-class

  • 收录时间:2018-03-05 18:20:56
  • 文件大小:2GB
  • 下载次数:241
  • 最近下载:2020-12-31 15:00:02
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文件列表

  1. Octave.Workshop.Installer.exe 117MB
  2. Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe 70MB
  3. Video Lectures/12.6-SupportVectorMachines-UsingAnSVM.mp4 26MB
  4. Video Lectures/05.2-OctaveTutorial-MovingDataAround.mp4 25MB
  5. Video Lectures/12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp4 23MB
  6. Video Lectures/06.6-LogisticRegression-AdvancedOptimization.mp4 22MB
  7. Video Lectures/09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4 21MB
  8. Video Lectures/05.1-OctaveTutorial-BasicOperations.mp4 21MB
  9. Video Lectures/19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp4 20MB
  10. Video Lectures/05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4 20MB
  11. Video Lectures/15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp4 19MB
  12. Video Lectures/12.4-SupportVectorMachines-KernelsI.mp4 19MB
  13. Video Lectures/17.2-RecommenderSystems-ContentBasedRecommendations.mp4 19MB
  14. Video Lectures/12.5-SupportVectorMachines-KernelsII.mp4 18MB
  15. Video Lectures/01.4-V2-Introduction-UnsupervisedLearning.mp4 18MB
  16. Video Lectures/19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp4 18MB
  17. Video Lectures/09.7-NeuralNetworksLearning-PuttingItTogether.mp4 18MB
  18. Video Lectures/19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp4 18MB
  19. Video Lectures/12.1-SupportVectorMachines-OptimizationObjective.mp4 18MB
  20. Video Lectures/16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp4 18MB
  21. Video Lectures/15.1-DimensionalityReduction-MotivationIDataCompression.mp4 18MB
  22. Video Lectures/06.3-LogisticRegression-DecisionBoundary.mp4 18MB
  23. Video Lectures/18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp4 17MB
  24. Video Lectures/11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp4 17MB
  25. Video Lectures/16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp4 17MB
  26. Video Lectures/09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4 17MB
  27. Video Lectures/11.2-MachineLearningSystemDesign-ErrorAnalysis.mp4 17MB
  28. Video Lectures/16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp4 17MB
  29. Video Lectures/08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4 17MB
  30. Video Lectures/05.6-OctaveTutorial-Vectorization.mp4 17MB
  31. Video Lectures/18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp4 16MB
  32. Video Lectures/10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp4 16MB
  33. Video Lectures/01.1-V3-Introduction-Welcome.mp4 16MB
  34. Video Lectures/18.5-LargeScaleMachineLearning-OnlineLearning.mp4 16MB
  35. Video Lectures/03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 16MB
  36. Video Lectures/15.7-DimensionalityReduction-AdviceForApplyingPCA.mp4 16MB
  37. Video Lectures/14.2-Clustering-KMeansAlgorithm.mp4 15MB
  38. Video Lectures/16.3-AnomalyDetection-Algorithm.mp4 15MB
  39. Video Lectures/09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4 15MB
  40. Video Lectures/02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 15MB
  41. Video Lectures/09.4-NeuralNetworksLearning-GradientChecking.mp4 15MB
  42. Video Lectures/08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4 14MB
  43. Video Lectures/18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp4 14MB
  44. Video Lectures/08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4 14MB
  45. Video Lectures/11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp4 14MB
  46. Video Lectures/03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 14MB
  47. Video Lectures/06.4-LogisticRegression-CostFunction.mp4 14MB
  48. Video Lectures/11.5-MachineLearningSystemDesign-DataForMachineLearning.mp4 14MB
  49. Video Lectures/02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 14MB
  50. Video Lectures/02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 14MB
  51. Video Lectures/10.5-AdviceForApplyingMachineLearning-RegularizationAndBiasVariance.mp4 14MB
  52. Video Lectures/03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 14MB
  53. Video Lectures/17.1-RecommenderSystems-ProblemFormulation.mp4 14MB
  54. Video Lectures/01.3-V2-Introduction-SupervisedLearning.mp4 14MB
  55. Video Lectures/02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 14MB
  56. Video Lectures/10.6-AdviceForApplyingMachineLearning-LearningCurves.mp4 14MB
  57. Video Lectures/07.4-Regularization-RegularizedLogisticRegression.mp4 13MB
  58. Video Lectures/04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4 13MB
  59. Video Lectures/17.3-RecommenderSystems-CollaborativeFiltering-V1.mp4 13MB
  60. Video Lectures/06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4 13MB
  61. Video Lectures/02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 13MB
  62. Video Lectures/16.2-AnomalyDetection-GaussianDistribution.mp4 13MB
  63. Video Lectures/07.3-Regularization-RegularizedLinearRegression.mp4 13MB
  64. Video Lectures/12.2-SupportVectorMachines-LargeMarginIntuition.mp4 13MB
  65. Video Lectures/15.5-DimensionalityReduction-ChoosingTheNumberOfPrincipalComponents.mp4 12MB
  66. Video Lectures/07.2-Regularization-CostFunction.mp4 12MB
  67. Video Lectures/11.1-MachineLearningSystemDesign-PrioritizingWhatToWorkOn.mp4 12MB
  68. Video Lectures/07.1-Regularization-TheProblemOfOverfitting.mp4 12MB
  69. Video Lectures/08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4 12MB
  70. Video Lectures/08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4 11MB
  71. Video Lectures/01.2-V2-Introduction-WhatIsMachineLearning.mp4 11MB
  72. Video Lectures/17.4-RecommenderSystems-CollaborativeFilteringAlgorithm.mp4 11MB
  73. Video Lectures/15.3-DimensionalityReduction-PrincipalComponentAnalysisProblemFormulation.mp4 11MB
  74. Video Lectures/05.4-OctaveTutorial-PlottingData.mp4 11MB
  75. Programming Exercises/mlclass-ex7.zip 11MB
  76. MSBNx.exe 11MB
  77. Video Lectures/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4 11MB
  78. Video Lectures/09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4 11MB
  79. Video Lectures/17.6-RecommenderSystems-ImplementationalDetailMeanNormalization.mp4 10MB
  80. Video Lectures/10.4-AdviceForApplyingMachineLearning-DiagnosingBiasVsVariance.mp4 10MB
  81. Video Lectures/05.3-OctaveTutorial-ComputingOnData.mp4 10MB
  82. Programming Exercises (completed)/mlclass-ex7.rar 10MB
  83. Video Lectures/03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 10MB
  84. Video Lectures/14.5-Clustering-ChoosingTheNumberOfClusters.mp4 10MB
  85. Video Lectures/03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 10MB
  86. Video Lectures/02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 10MB
  87. Video Lectures/10.2-AdviceForApplyingMachineLearning-EvaluatingAHypothesis.mp4 10MB
  88. Video Lectures/02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 9MB
  89. Video Lectures/14.4-Clustering-RandomInitialization.mp4 9MB
  90. Video Lectures/10.7-AdviceForApplyingMachineLearning-DecidingWhatToDoNextRevisited.mp4 9MB
  91. Video Lectures/16.1-AnomalyDetection-ProblemMotivation-V1.mp4 9MB
  92. Video Lectures/06.2-LogisticRegression-HypothesisRepresentation.mp4 9MB
  93. Video Lectures/14.3-Clustering-OptimizationObjective.mp4 9MB
  94. Video Lectures/06.1-LogisticRegression-Classification.mp4 9MB
  95. Video Lectures/19.1-ApplicationExamplePhotoOCR-ProblemDescriptionAndPipeline.mp4 9MB
  96. Video Lectures/08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4 8MB
  97. Video Lectures/09.1-NeuralNetworksLearning-CostFunction.mp4 8MB
  98. Video Lectures/18.3-LargeScaleMachineLearning-MiniBatchGradientDescent.mp4 8MB
  99. Video Lectures/09.5-NeuralNetworksLearning-RandomInitialization.mp4 8MB
  100. Video Lectures/03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 8MB
  101. Programming Exercises/mlclass-ex4.zip 8MB
  102. Video Lectures/10.1-AdviceForApplyingMachineLearning-DecidingWhatToTryNext.mp4 8MB
  103. Video Lectures/04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4 8MB
  104. Programming Exercises/mlclass-ex3.zip 8MB
  105. Video Lectures/06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4 7MB
  106. Programming Exercises (completed)/mlclass-ex4.rar 7MB
  107. Programming Exercises (completed)/mlclass-ex3.rar 7MB
  108. Video Lectures/05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4 7MB
  109. Lecture Slides/Lecture11.pptx 7MB
  110. Video Lectures/18.1-LargeScaleMachineLearning-LearningWithLargeDatasets.mp4 7MB
  111. Video Lectures/15.2-DimensionalityReduction-MotivationIIVisualization.mp4 7MB
  112. Video Lectures/04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4 7MB
  113. Lecture Slides/Lecture8.pptx 6MB
  114. Lecture Slides/Lecture18.pptx 6MB
  115. Video Lectures/04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 6MB
  116. Video Lectures/02.8-V2-What'sNext.mp4 6MB
  117. Lecture Slides/Lecture15.pptx 6MB
  118. Video Lectures/15.6-DimensionalityReduction-ReconstructionFromCompressedRepresentation.mp4 6MB
  119. Video Lectures/04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4 6MB
  120. Video Lectures/08.7-NeuralNetworksRepresentation-MultiClassClassification.mp4 5MB
  121. Lecture Slides/Lecture12.pptx 5MB
  122. Lecture Slides/Lecture2.pptx 5MB
  123. Lecture Slides/Lecture8.pdf 5MB
  124. Video Lectures/04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4 5MB
  125. Lecture Slides/Lecture9.pptx 5MB
  126. Lecture Slides/Lecture3.pptx 5MB
  127. Video Lectures/04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 5MB
  128. Lecture Slides/Lecture1.pdf 5MB
  129. Lecture Slides/Lecture1.pptx 5MB
  130. Video Lectures/20.1-Conclusion-SummaryAndThankYou.mp4 5MB
  131. Lecture Slides/Lecture4.pptx 4MB
  132. Video Lectures/14.1-Clustering-UnsupervisedLearningIntroduction.mp4 4MB
  133. Lecture Slides/Lecture17.pptx 4MB
  134. Lecture Slides/Lecture14.pptx 4MB
  135. Lecture Slides/Lecture16.pptx 4MB
  136. Lecture Slides/Lecture9.pdf 3MB
  137. Lecture Slides/Lecture10.pptx 3MB
  138. Lecture Slides/Lecture15.pdf 3MB
  139. Lecture Slides/Lecture6.pptx 3MB
  140. Lecture Slides/Lecture2.pdf 3MB
  141. Lecture Slides/Lecture13.pptx 3MB
  142. Lecture Slides/Lecture7.pptx 3MB
  143. Lecture Slides/Lecture12.pdf 2MB
  144. Lecture Slides/Lecture13.pdf 2MB
  145. Lecture Slides/Lecture17.pdf 2MB
  146. Lecture Slides/Lecture18.pdf 2MB
  147. Lecture Slides/Lecture3.pdf 2MB
  148. Lecture Slides/Lecture6.pdf 2MB
  149. Lecture Slides/Lecture4.pdf 2MB
  150. Lecture Slides/Lecture14.pdf 2MB
  151. Lecture Slides/Lecture10.pdf 1MB
  152. Lecture Slides/Lecture16.pdf 1MB
  153. Lecture Slides/Lecture7.pdf 1MB
  154. Lecture Slides/Lecture11.pdf 1MB
  155. Programming Exercises/mlclass-ex6.zip 894KB
  156. Programming Exercises/mlclass-ex8.zip 792KB
  157. Review Questions/12 - Support Vector Machines.mht 660KB
  158. Programming Exercises (completed)/mlclass-ex6.rar 569KB
  159. Programming Exercises (completed)/mlclass-ex8.rar 547KB
  160. Review Questions/08 - Neural Networks - Representation.mht 468KB
  161. Programming Exercises/mlclass-ex1.zip 463KB
  162. Review Questions/18 - Application Example - Photo OCR.mht 451KB
  163. Review Questions/14 - Dimensionality Reduction.mht 439KB
  164. Review Questions/15 - Anomaly Detection.mht 353KB
  165. Review Questions/07 - Regularization.mht 352KB
  166. Review Questions/06 - Logistic Regression.mht 349KB
  167. Review Questions/10 - Advice for Applying Machine Learning.mht 322KB
  168. Review Questions/16 - Recommender Systems.mht 317KB
  169. Review Questions/03 - Linear Algebra.mht 310KB
  170. Review Questions/02 - Linear regression with one variable.mht 308KB
  171. Review Questions/09 - Neural Networks - Learning.mht 304KB
  172. Review Questions/04 - Linear Regression with Multiple Variables.mht 302KB
  173. Review Questions/17 - Large Scale Machine Learning.mht 300KB
  174. Review Questions/13 - Clustering.mht 298KB
  175. Review Questions/11 - Machine Learning System Design.mht 296KB
  176. Review Questions/05 - Octave Tutorial.mht 293KB
  177. Review Questions/01 - Introduction.mht 285KB
  178. Programming Exercises/mlclass-ex2.zip 240KB
  179. Programming Exercises/mlclass-ex5.zip 126KB
  180. Programming Exercises (completed)/mlclass-ex5.rar 16KB
  181. Programming Exercises (completed)/mlclass-ex2.rar 15KB
  182. Programming Exercises (completed)/mlclass-ex1.rar 11KB
  183. Lecture Slides/octave_session.m 5KB