Machine Learning Course - CS 156

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Lecture 01 - The Learning Problem

Aug 28, 2012 · caltech

Lecture 15 - Kernel Methods

May 24, 2012 · caltech

Lecture 14 - Support Vector Machines

May 18, 2012 · caltech

Lecture 13 - Validation

May 17, 2012 · caltech

Lecture 12 - Regularization

May 14, 2012 · caltech

Lecture 11 - Overfitting

May 10, 2012 · caltech

Lecture 10 - Neural Networks

May 6, 2012 · caltech

Lecture 09 - The Linear Model II

May 3, 2012 · caltech

Lecture 08 - Bias-Variance Tradeoff

Apr 28, 2012 · caltech

Lecture 07 - The VC Dimension

Apr 26, 2012 · caltech

Lecture 06 - Theory of Generalization

Apr 21, 2012 · caltech

Lecture 05 - Training Versus Testing

Apr 20, 2012 · caltech

Lecture 04 - Error and Noise

Apr 15, 2012 · caltech

Lecture 03 -The Linear Model I

Apr 12, 2012 · caltech

Lecture 02 - Is Learning Feasible?

Apr 9, 2012 · caltech