ML Class videos | 446229F8115ABEFA9A423A88DF0F93CA3434229C

ML Class videos

Name	ML-Class_videos	DOWNLOAD Copy Link
Total Size	742.6 MB
Total Files	57
Hash	446229F8115ABEFA9A423A88DF0F93CA3434229C

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05.2-OctaveTutorial-MovingDataAround.mp4	26.7 MB
06.6-LogisticRegression-AdvancedOptimization.mp4	22.6 MB
09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp4	22.3 MB
05.1-OctaveTutorial-BasicOperations.mp4	21.7 MB
05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp4	20.6 MB
01.4-V2-Introduction-UnsupervisedLearning.mp4	19.1 MB
09.7-NeuralNetworksLearning-PuttingItTogether.mp4	18.7 MB
06.3-LogisticRegression-DecisionBoundary.mp4	18.4 MB
09.3-NeuralNetworksLearning-BackpropagationIntuition.mp4	18.0 MB
08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp4	17.7 MB
05.6-OctaveTutorial-Vectorization.mp4	17.6 MB
03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4	16.7 MB
09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp4	15.8 MB
02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4	15.7 MB
09.4-NeuralNetworksLearning-GradientChecking.mp4	15.5 MB
08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp4	15.1 MB
08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp4	15.1 MB
03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4	14.8 MB
06.4-LogisticRegression-CostFunction.mp4	14.8 MB
02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4	14.6 MB
02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4	14.6 MB
03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4	14.5 MB
01.3-V2-Introduction-SupervisedLearning.mp4	14.3 MB
02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4	14.2 MB
07.4-Regularization-RegularizedLogisticRegression.mp4	14.2 MB
04.6-V2-LinearRegressionWithMultipleVariables-NormalEquation.mp4	14.0 MB
06.5-LogisticRegression-SimplifiedCostFunctionAndGradientDescent.mp4	13.7 MB
02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4	13.5 MB
07.3-Regularization-RegularizedLinearRegression.mp4	13.4 MB
07.2-Regularization-CostFunction.mp4	13.0 MB
07.1-Regularization-TheProblemOfOverfitting.mp4	12.5 MB
08.1-NeuralNetworksRepresentation-NonLinearHypotheses.mp4	12.1 MB
08.2-NeuralNetworksRepresentation-NeuronsAndTheBrain.mp4	12.0 MB
01.2-V2-Introduction-WhatIsMachineLearning.mp4	12.0 MB
05.4-OctaveTutorial-PlottingData.mp4	11.9 MB
09.3-NeuralNetworksLearning-ImplementationNoteUnrollingParameters.mp4	11.1 MB
05.3-OctaveTutorial-ComputingOnData.mp4	10.9 MB
03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4	10.7 MB
03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4	10.3 MB
02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4	10.1 MB
02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4	9.9 MB
06.2-LogisticRegression-HypothesisRepresentation.mp4	9.2 MB
06.1-LogisticRegression-Classification.mp4	9.2 MB
08.5-NeuralNetworksRepresentation-ExamplesAndIntuitionsI.mp4	8.7 MB
09.1-NeuralNetworksLearning-CostFunction.mp4	8.5 MB
09.5-NeuralNetworksLearning-RandomInitialization.mp4	8.3 MB
03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4	8.2 MB
04.3-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIFeatureScaling.mp4	8.0 MB
06.7-LogisticRegression-MultiClassClassificationOneVsAll.mp4	7.6 MB
05.7-OctaveTutorial-WorkingOnAndSubmittingProgrammingExercises.mp4	7.6 MB
04.4-LinearRegressionWithMultipleVariables-GradientDescentInPracticeIILearningRate.mp4	7.2 MB
04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4	6.4 MB
02.8-V2-What'sNext.mp4	6.4 MB
04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4	6.2 MB
04.5-LinearRegressionWithMultipleVariables-FeaturesAndPolynomialRegression.mp4	6.0 MB
04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional).mp4	5.4 MB
04.7-LinearRegressionWithMultipleVariables-NormalEquationNonInvertibility(Optional) (1).mp4	5.4 MB
Total files 57