Graduate Prerequisites: (CASMA575 & CASMA581) or consent of instructor. - Foundations and applications of statistical machine learning. Supervised and unsupervised learning. Machine classification and regression methods, regularized basis methods, kernel methods, boosting, neural networks, support vector machines, and graphical models.

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