Course Title
Statistical Machine Learning
Department
Credit Hrs
3
Grade Modes
Audit, Pass/Fail, Standard Letter
Course Description
Basics of statistical learning. Data visualization. Linear, nonlinear and logistic regression, variable selection and regularization. Linear classification methods. Smoothing methods. Tree-based methods. Basics of statistical learning. Data visualization. Linear, nonlinear and logistic regression, variable selection and regularization. Linear classification methods. Smoothing methods. Tree-based methods.
Prerequisite
Complete ALL of the following Courses:
- MATH3082
- MATH2420
Or consent of the instructor.