STAT 4250
Statistical Learning
(Lab required) Topics related to the use of Statistics and inferential methods in machine learning, including the lasso and ridge regression, classification and clustering, neural networks, support vector machines, bagging, boosting and ensemble methods.
Prerequisites & course information
PR/CR: A minimum grade of C is required unless otherwise indicated. Prerequisites: [one of STAT 3100 , the former STAT 3600, or the former STAT 3800] and STAT 3150 and [ STAT 3690 or the former STAT 4690]. Attributes: Mathematics Requirement, Science
Sources
- Course catalogue ↗2026-2027