STAT 413: INTRO TO STAT MACHINE LEARNING
Fall 2023 · Section 001 · CRN 11919
This course is an introduction to concepts, methods, and best practices in statistical machine learning. Topics covered include regularized regression, classification, kernels, dimension reduction, clustering, trees, and ensemble learning. Emphasis will be placed on applied data analysis and computation. Recommended Prerequisite(s): STAT 411 and CAAM 335 or CMOR 302 or MATH 354 or MATH 355. Mutually Exclusive: Cannot register for STAT 413 if student has credit for ELEC 478.
- Credits
- 3
- Instructors
- Eric Chi