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Lecture 01 - The Learning Problem
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Lecture 03 -The Linear Model I
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CalTech ML Course Lecture 01 - The Learning Problem
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Lecture 14 - Support Vector Machines
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Lecture 05 - Training Versus Testing
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Lecture 17 - Three Learning Principles
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Lecture 13 - Validation
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Lecture 10 - Neural Networks
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Lecture 16 - Radial Basis Functions
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Lecture 08 - Bias-Variance Tradeoff
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Lecture 18 - Epilogue
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Lecture 09 - The Linear Model II
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Lecture 12 - Regularization
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Lecture 06 - Theory of Generalization
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Lecture 07 - The VC Dimension
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Lecture 11 - Overfitting
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