ML-Class-videos-1txF
05.2-OcteTutorial-MovingDataAround.mp425.42MB
06.6-LogisticRegression-AdvancedOptimization.mp421.59MB
09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25MB
05.1-OcteTutorial-BasicOperations.mp420.69MB
05.5-OcteTutorial-ForWhileIfStatementsAndFunctions.mp419.69MB
01.4-V2-Introduction-UnsupervisedLearning.mp418.17MB
09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88MB
06.3-LogisticRegression-DecisionBoundary.mp417.51MB
09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14MB
08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84MB
05.6-OcteTutorial-Vectorization.mp416.83MB
03.3-V2-LinearAlgebraReview(Optional)-trixVectorMultiplication.mp415.90MB
09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07MB
02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp414.93MB
09.4-NeuralNetworksLearning-GradientChecking.mp414.76MB
08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41MB
08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37MB
03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp414.13MB
06.4-LogisticRegression-CostFunction.mp414.11MB
02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp413.92MB
02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp413.91MB
03.4-V2-LinearAlgebraReview(Optional)-trixMatrixMultiplication.mp413.81MB
01.3-V2-Introduction-SupervisedLearning.mp413.65MB
02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp413.55MB
07.4-Regularization-RegularizedLogisticRegression.mp413.50MB
04.6-V2-LinearRegressionWithMultipleVariables-NorlEquation.mp413.34MB
06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp413.07MB
02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp412.91MB
07.3-Regularization-RegularizedLinearRegression.mp412.77MB
07.2-Regularization-CostFunction.mp412.43MB
07.1-Regularization-TheProblemOfOverfitting.mp411.96MB
08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp411.53MB
08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp411.47MB
01.2-V2-Introduction-WhatIachineLearning.mp411.44MB
05.4-OcteTutorial-PlottingData.mp411.31MB
09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp410.54MB
05.3-OcteTutorial-ComputingOnData.mp410.37MB
03.5-V2-LinearAlgebraReview(Optional)-trixMultiplicationProperties.mp410.16MB
03.1-V2-LinearAlgebraReview(Optional)-tricesAndVectors.mp49.79MB
02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp49.63MB
02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp49.49MB
06.2-LogisticRegression-HypothesisRepresentation.mp48.81MB
06.1-LogisticRegression-Classification.mp48.73MB
08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp48.29MB
09.1-NeuralNetworksLearning-CostFunction.mp48.10MB
09.5-NeuralNetworksLearning-RandomInitialization.mp47.95MB
03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp47.85MB
04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp47.58MB
06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp47.29MB
05.7-OcteTutorial-WorkingOnAndSubmittingProgrammingExercises.mp47.25MB
04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp46.86MB
04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp46.13MB
02.8-V2-What'sNext.mp46.09MB
04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp45.90MB
04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp45.74MB
04.7-LinearRegressionWithMultipleVariables-NorlEquationNonInvertibility(Optional).mp45.18MB
04.7-LinearRegressionWithMultipleVariables-NorlEquationNonInvertibility(Optional) (1).mp45.18MB
- CreateTime2017-08-02
- UpdateTime2017-08-02
- FileTotalCount57
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