Computer Engineering · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
SDSU COMPE 510 — Machn Lrning For Engnrs
Selected topics from linear regression, logistic regression, neural networks, support vector machine, decision trees, clustering, Naive Bayes, dimension reduction, and ensemble learning.
Course requirements
Prerequisites: COMPE 361, E E 300, E E 200 or Graduate standing.
- COMPE 361, E E 300, E E 200 or Graduate standing.