Michigan State University 3 credits Statistics and Probability
Low dimensional data visualization. Linear Regression. Binary Regression. Linear discriminant analysis. Probabilistic classification. Model selection via regularization. LASSO. Non-parametric smoothing. CART. MART. Support vector machine. Neural network. Clustering. Random forest. Prerequisite: (STT 441 and STT 442) or (STT 810 and STT 811) or (STT 863 and STT 864).
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