ELEC 478: INTRO TO MACHINE LEARNING
Fall 2026 · Section 001 · CRN 14834
This course is an advanced introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, regularization, kernels, clustering, dimension reduction, decision trees, ensemble learning, and neural networks. Cross-list: ELEC 578. Mutually Exclusive: Cannot register for ELEC 478 if student has credit for COMP 540/DSCI 303/ELEC 578/STAT 413/STAT 613.
- Credits
- 3
- Instructors
- Mitchell Roddenberry, Vivek Boominathan