Statistical Learning

3 credits · Undergraduate Programs

Introduction and linear regression; classification; regularization; model assessment and selection; support vector machines; unsupervised learning; tree-based methods; additional topics selected by course instructor. Prerequisite(s): Statistics 429. Antirequisite(s): Credit for Statistics 543 and 641 will not be allowed.