ECSE 551 Machine Learning for Engineers

4 credits · Electrical & Computer Engr · Faculty of Engineering · Offered: Fall, Winter

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 …

Prerequisites

((ECSE 250 or COMP 250) and (ECSE 205 or MATH 323)) or GEPR 221

Prerequisite courses: COMP 250, ECSE 205, ECSE 250, GEPR 221, MATH 323

Corequisites

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

Courses that need ECSE 551

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