This course introduces various supervised ML algorithms and prediction tasks applied to different data. Specific topics include linear and logistic regression, KNN, Decision trees, ensemble methods such as Random Forest and Boosting, and kernel methods such as SVM. Formerly offered as a special topics course. Same as DTSA 5509.
instructor(s)
Kim, Geena
Primary Instructor
- Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
