Notebooks
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Lecture Notes
Please refer to our latest version at Link
Supplemental Materials
1. Regression 1.1 Regression_14 Feb 1.2 SVM_24 Feb 1.3 SVM_3 Mar
1.4 SVM hand written.pdf
2. Principal Component Analysis 2D Ising model basic
3. Neural Network Feed-forward and Back-propagation