Statistical Machine Learning

3 credits · Undergraduate Programs

Core concepts of statistical machine learning, with an emphasis on the statistical background of the machine learning discipline. Classification and regression, nearest neighbours, Bayesian learning, decision tree, support vector machine, linear discriminant analysis, dimensionality reduction, and an introduction to neural networks. Prerequisite(s): Data Science 335 and Computer Science 319. Antirequisite(s): Credit for Data Science 443 and Computer Science 544 will not be allowed.