| Jan 19 |
Course information |
PDF |
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| Jan 24, 26 |
Review on Probability and Linear Algebra |
PDF |
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HW 01 |
| Jan 31, Feb 2 |
Introduction to learning theory |
PDF |
Code |
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| Feb 7, 9 |
Linear predictors |
PDF |
Code |
HW 02 |
| Feb 14, 16 |
Linear predictors (II) |
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| Feb 21, 23 |
Bias-complexity Tradeoff |
PDF |
Code |
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| Feb 28, Mar 2 |
SVMs and kernel methods |
PDF |
Demo |
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| Mar 7, 9 |
No class |
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| Mar 14, 16 |
SVMs and kernel methods (II) |
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| Mar 21, 23 |
Model selection and validation |
PDF |
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HW 03 |
| Mar 28, 30 |
Neural networks |
PDF |
Demo |
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| Apr 4, 6 |
Optimization methods |
PDF |
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| Apr 11, 13 |
CNNs and RNNs |
PDF |
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| Apr 18, 20 |
Dimension Reduction |
PDF |
Code |
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| Apr 25, 27 |
LLMs |
PDF |
Demo |
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| May 2 |
Review |
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Final Project Due |