MATH 533 - Topics In Statistical Learning (3)

Statistical learning methods for exploratory and inferential statistics, computational techniques for inference and applying statistical software. Supervised learning, linear methods for regression and classification, regularization, kernel smoothing, model assessment and selection, additive models, trees, boosting, neural network and SVM.

Corequisite: MATH 530.

Graduate-level

One or more sections may be offered in any online format.

Typically Offered: Fall