MATH 441 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 440
Course Frequency: Spring
Cross-listing: MATH 541