lecture_notes
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- Weeks 1-2: Machine Learning (basic concepts); Math foundation: probabilities; Bayes theorem; statistics; Entropy; mutual information; decision tree; optimization, matrix decomposition (Weekly Reading: W2) (A useful online manual on Matrix Calculus)
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