Introduction and linear regression; classification; regularization; model assessment and selection; support vector machines; unsupervised learning; tree-based methods; additional topics selected by course instructor.
This course may not be repeated for credit.
Antirequisite(s)
- Credit for Statistics 543 and 641 will not be allowed.
Sections
This course will be offered next in
Fall 2022.