MATH 535 - Advanced Statistical Learning

Regression and Logistic Regression, Lasso and Related Methods, Support Vector Machines and Large Margin Classifiers, Kernel Methodology, Principal Components (SVD) and Variations, Multidimensional Scaling and Isomap, Nonnegative Matrix Factorization, Boosting, Random Forests and Ensemble Methods, Bagging, Graphical Models, Cross-Validation, Bootstrap. Co/Prerequisite: Math 531 or 555. 4 cr.