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Courses by California Institute of Technology
Machine Learning
Error and Noise
Yaser Abu-Mostafa
01:18:22
Training Versus Testing
Yaser Abu-Mostafa
01:16:58
Theory of Generalization
Yaser Abu-Mostafa
01:18:12
The VC Dimension
Yaser Abu-Mostafa
01:13:31
Bias-Variance Tradeoff
Yaser Abu-Mostafa
01:16:51
The Linear Model II
Yaser Abu-Mostafa
01:27:14
Neural Networks
Yaser Abu-Mostafa
01:25:16
Overfitting
Yaser Abu-Mostafa
01:19:49
Regularization
Yaser Abu-Mostafa
01:15:14
Validation
Yaser Abu-Mostafa
01:26:12
Support Vector Machines
Yaser Abu-Mostafa
01:14:16
Kernel Methods
Yaser Abu-Mostafa
01:18:19
Radial Basis Functions
Yaser Abu-Mostafa
01:22:08
Three Learning Principles
Yaser Abu-Mostafa
01:16:18
Epilogue
Yaser Abu-Mostafa
01:09:28
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