MATH 382 - Statistical Machine Learning

Semester Offered: Fall or Spring
1 unit(s)

Machine learning methods address problems of making predictions from data. This course expands on prior study of data visualization and estimation and introduces methods of supervised and unsupervised learning, model training, and validation. Students are expected to engage in statistical programming in R to apply these methods to data.

Prerequisite(s): AP credit in statistics, MATH 141 or MATH 240; plus MATH 220, MATH 221, and MATH 241.

Course Format: CLS