lecture_notes
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- Weeks 1-2: A. Machine Learning (basic concepts); B. 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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