MATH 541 Statistical Learning II (3)

Neural networks, nearest neighbor procedures, Vapnik Chervonenkis dimension, support vector machines, structural risk minimization induction, regularization methods and boosting and bagging in classification and regression.
Prerequisite(s): MATH 540
Course Frequency: Spring
Cross-Listing: MATH 441