Index of /MainFolder/courses/MachineLearning/videos

[ICO]NameLast modifiedSizeDescription

[DIR]Parent Directory  -  
[TXT]01.1-Introduction-Welcome.xml21-Aug-2011 22:16 135  
[TXT]01.5-Introduction-InstallingOctave.xml22-Aug-2011 22:53 154  
[TXT]02.3-LinearRegressionI-CostFunction.xml01-Oct-2010 18:36 156  
[TXT]03.2-LinearRegressionII-LearningRate.xml01-Oct-2010 18:26 158  
[TXT]03.1-LinearRegressionII-FeatureScaling.xml01-Oct-2010 18:25 162  
[TXT]04.1-LogisticRegression-Classification.xml04-Oct-2010 20:57 163  
[TXT]03.4-LinearRegressionII-NormalEquations.xml01-Oct-2010 18:42 164  
[TXT]04.6-LogisticRegression-NewtonsMethodI.xml05-Oct-2010 09:24 164  
[TXT]02.2-LinearRegressionI-ModelRepresentation.xml01-Oct-2010 18:00 170  
[TXT]05.1-Regularization-TheProblemOfOverfitting.xml05-Oct-2010 10:55 171  
[TXT]05.4-Regularization-RegularizedLinearRegression.xml06-Oct-2010 15:03 178  
[TXT]04.3-LogisticRegression-OptimizationObjectiveI.xml04-Oct-2010 20:59 181  
[TXT]04.4-LogisticRegression-OptimizationObjectiveII.xml04-Oct-2010 20:59 183  
[TXT]04.8-LogisticRegression-GradientDescentVsNewtonsMethod.xml05-Oct-2010 10:13 195  
[TXT]03.3-LinearRegressionII-FeaturesAndPolynomialRegression.xml01-Oct-2010 18:42 198  
[TXT]05.3-Regularization-CommonVariations.xml06-Oct-2010 15:02 386  
[TXT]04.2-LogisticRegression-Model.xml04-Oct-2010 21:16 387  
[TXT]06.2-NaiveBayes-TextClassification.xml06-Oct-2010 15:16 395  
[TXT]02.4-LinearRegressionI-GradientDescent.xml01-Oct-2010 18:30 400  
[TXT]05.2-Regularization-OptimizationObjective.xml06-Oct-2010 15:01 416  
[TXT]04.5-LogisticRegression-GradientDescent.xml04-Oct-2010 21:21 417  
[TXT]04.7-LogisticRegression-NewtonsMethodII.xml05-Oct-2010 10:13 420  
[TXT]01.2-Introduction-WhatIsMachineLearning.xml22-Aug-2011 00:09 422  
[TXT]01.4-Introduction-UnsupervisedLearning.xml21-Aug-2011 22:32 423  
[TXT]01.3-Introduction-SupervisedLearning.xml21-Aug-2011 22:25 424  
[TXT]02.1-LinearRegressionI-SupervisedLearningIntro.xml06-Apr-2011 15:26 426  
[TXT]02.6-LinearRegressionI-VectorizedImplementation.xml08-Apr-2011 16:21 426  
[TXT]06.1-NaiveBayes-GenerativeLearningAlgorithms.xml06-Oct-2010 15:14 428  
[TXT]05.5-Regularization-RegularizedLogisticRegression.xml06-Oct-2010 15:05 441  
[TXT]02.5-LinearRegressionI-GradientDescentForLinearRegression.xml01-Oct-2010 18:31 460  
[TXT]01.2-Introduction-WhatIsMachineLearning-quiz.xml09-Sep-2011 18:03 3.0K 
[TXT]01.2-Introduction-WhatIsMachineLearning-subtitles.xml08-Sep-2011 21:51 31K 
[VID]04.1-LogisticRegression-Classification.mp404-Oct-2010 21:17 4.1M 
[VID]04.2-LogisticRegression-Model.mp404-Oct-2010 19:38 4.2M 
[VID]02.3-LinearRegressionI-CostFunction.mp401-Oct-2010 13:20 4.7M 
[VID]04.4-LogisticRegression-OptimizationObjectiveII.mp404-Oct-2010 20:27 5.0M 
[VID]04.2-LogisticRegression-Model150.mp406-Apr-2011 19:41 5.1M 
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod.mp405-Oct-2010 10:09 5.2M 
[VID]05.3-Regularization-CommonVariations.mp406-Oct-2010 14:49 5.2M 
[VID]05.3-Regularization-CommonVariations150.mp408-Apr-2011 12:00 5.4M 
[VID]04.2-LogisticRegression-Model120.mp406-Apr-2011 19:38 5.6M 
[VID]04.5-LogisticRegression-GradientDescent.mp404-Oct-2010 21:24 6.0M 
[VID]05.2-Regularization-OptimizationObjective.mp406-Oct-2010 14:43 6.1M 
[VID]05.5-Regularization-RegularizedLogisticRegression.mp406-Oct-2010 14:58 6.1M 
[VID]05.4-Regularization-RegularizedLinearRegression.mp406-Oct-2010 14:53 6.1M 
[VID]01.1-Introduction-Welcome.mp421-Aug-2011 19:08 6.6M 
[VID]06.2-NaiveBayes-TextClassification.mp406-Oct-2010 15:10 6.7M 
[VID]04.6-LogisticRegression-NewtonsMethodI.mp405-Oct-2010 09:21 6.7M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI.mp404-Oct-2010 20:02 6.8M 
[VID]05.3-Regularization-CommonVariations120.mp407-Apr-2011 13:18 6.9M 
[VID]03.1-LinearRegressionII-FeatureScaling.mp401-Oct-2010 18:09 6.9M 
[VID]02.2-LinearRegressionI-ModelRepresentation.mp401-Oct-2010 13:05 7.0M 
[VID]04.7-LogisticRegression-NewtonsMethodII.mp405-Oct-2010 09:48 7.2M 
[VID]04.1-LogisticRegression-Classification150.mp406-Apr-2011 19:36 7.3M 
[VID]01.2-Introduction-WhatIsMachineLearning.mp421-Aug-2011 19:11 7.4M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression.mp401-Oct-2010 18:23 7.5M 
[VID]04.1-LogisticRegression-Classification120.mp406-Apr-2011 19:33 7.9M 
[VID]05.1-Regularization-TheProblemOfOverfitting.mp405-Oct-2010 10:54 8.0M 
[VID]04.4-LogisticRegression-OptimizationObjectiveII150.mp406-Apr-2011 19:57 8.1M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro.mp401-Oct-2010 13:31 8.1M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms.mp406-Oct-2010 15:04 8.2M 
[VID]02.3-LinearRegressionI-CostFunction150.mp406-Apr-2011 14:00 8.5M 
[VID]04.4-LogisticRegression-OptimizationObjectiveII120.mp406-Apr-2011 19:53 8.6M 
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod150.mp407-Apr-2011 12:35 8.6M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression.mp401-Oct-2010 14:48 8.7M 
[VID]03.2-LinearRegressionII-LearningRate.mp401-Oct-2010 18:17 9.4M 
[VID]04.8-LogisticRegression-GradientDescentVsNewtonsMethod120.mp407-Apr-2011 12:28 9.5M 
[VID]02.3-LinearRegressionI-CostFunction120.mp406-Apr-2011 13:58 9.5M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI150.mp406-Apr-2011 19:50 9.8M 
[VID]01.3-Introduction-SupervisedLearning.mp421-Aug-2011 19:17 9.8M 
[VID]02.2-LinearRegressionI-ModelRepresentation150.mp406-Apr-2011 13:56 9.9M 
[VID]03.4-LinearRegressionII-NormalEquations.mp401-Oct-2010 18:31 9.9M 
[VID]05.2-Regularization-OptimizationObjective150.mp407-Apr-2011 13:11 10M 
[VID]04.6-LogisticRegression-NewtonsMethodI150.mp408-Apr-2011 16:51 10M 
[VID]04.7-LogisticRegression-NewtonsMethodII150.mp407-Apr-2011 12:21 11M 
[VID]04.5-LogisticRegression-GradientDescent150.mp406-Apr-2011 19:30 11M 
[VID]04.3-LogisticRegression-OptimizationObjectiveI120.mp406-Apr-2011 19:46 11M 
[VID]02.2-LinearRegressionI-ModelRepresentation120.mp406-Apr-2011 13:53 11M 
[VID]04.6-LogisticRegression-NewtonsMethodI120.mp406-Apr-2011 20:01 11M 
[VID]05.2-Regularization-OptimizationObjective120.mp407-Apr-2011 13:03 11M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro150.mp406-Apr-2011 14:07 11M 
[VID]05.4-Regularization-RegularizedLinearRegression150.mp408-Apr-2011 12:16 11M 
[VID]04.5-LogisticRegression-GradientDescent120.mp406-Apr-2011 19:26 11M 
[VID]05.5-Regularization-RegularizedLogisticRegression150.mp408-Apr-2011 12:32 12M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression150.mp406-Apr-2011 19:22 12M 
[VID]04.7-LogisticRegression-NewtonsMethodII120.mp407-Apr-2011 12:12 12M 
[VID]02.6-LinearRegressionI-VectorizedImplementation.mp401-Oct-2010 17:58 12M 
[VID]03.1-LinearRegressionII-FeatureScaling150.mp406-Apr-2011 18:31 12M 
[VID]05.4-Regularization-RegularizedLinearRegression120.mp408-Apr-2011 12:08 12M 
[VID]02.1-LinearRegressionI-SupervisedLearningIntro120.mp406-Apr-2011 14:03 13M 
[VID]01.5-Introduction-InstallingOctave.mp422-Aug-2011 22:45 13M 
[VID]05.5-Regularization-RegularizedLogisticRegression120.mp408-Apr-2011 12:24 13M 
[VID]01.4-Introduction-UnsupervisedLearning.mp421-Aug-2011 19:22 13M 
[VID]03.1-LinearRegressionII-FeatureScaling120.mp406-Apr-2011 18:26 13M 
[VID]03.3-LinearRegressionII-FeaturesAndPolynomialRegression120.mp406-Apr-2011 19:17 14M 
[VID]03.2-LinearRegressionII-LearningRate150.mp406-Apr-2011 18:43 14M 
[VID]02.4-LinearRegressionI-GradientDescent.mp401-Oct-2010 14:21 14M 
[VID]06.2-NaiveBayes-TextClassification150.mp408-Apr-2011 14:41 15M 
[VID]05.1-Regularization-TheProblemOfOverfitting150.mp407-Apr-2011 12:55 16M 
[VID]03.2-LinearRegressionII-LearningRate120.mp406-Apr-2011 18:37 16M 
[VID]03.4-LinearRegressionII-NormalEquations150.mp406-Apr-2011 19:12 16M 
[VID]06.2-NaiveBayes-TextClassification120.mp408-Apr-2011 16:37 16M 
[VID]05.1-Regularization-TheProblemOfOverfitting120.mp407-Apr-2011 12:45 17M 
[VID]03.4-LinearRegressionII-NormalEquations120.mp406-Apr-2011 19:06 18M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression150.mp406-Apr-2011 18:21 18M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms150.mp408-Apr-2011 14:32 19M 
[VID]02.5-LinearRegressionI-GradientDescentForLinearRegression120.mp406-Apr-2011 18:15 20M 
[VID]02.4-LinearRegressionI-GradientDescent150.mp406-Apr-2011 14:18 20M 
[VID]06.1-NaiveBayes-GenerativeLearningAlgorithms120.mp408-Apr-2011 14:21 21M 
[VID]02.4-LinearRegressionI-GradientDescent120.mp406-Apr-2011 14:12 22M 
[VID]02.6-LinearRegressionI-VectorizedImplementation150.mp406-Apr-2011 18:59 29M 
[VID]02.6-LinearRegressionI-VectorizedImplementation120.mp406-Apr-2011 18:51 33M