ECSE 551. Machine Learning for Engineers.
Credits: 4
Offered by: Electrical & Computer Engr (Faculty of Engineering)
Terms offered: Fall 2026, Winter 2027
View offerings for Fall 2026 or Winter 2027 in Visual Schedule Builder.
Description
Introduction to machine learning: challenges and fundamental concepts. Supervised learning: Regression and Classification. Unsupervised learning. Curse of dimensionality: dimension reduction and feature selection. Error estimation and empirical validation. Emphasis on good methods and practices for deployment
of real systems.
- Prerequisite(s): ((ECSE 250 or COMP 250) and (ECSE 205 or MATH 323)) or GEPR 221
- Corequisite: ECSE 343 or ECSE 543 or MATH 247
- Restrictions: Not open to students who have taken or are taking COMP 551.
- GEPR courses can only serve as pre- and co-requisite courses for students enrolled in the Bachelor of Global Engineering program