COMP 451 Fundamentals of Machine Learning

3 credits · Computer Science · Faculty of Science · Not scheduled for 2026–2027

Introduction to the computational, statistical and mathematical foundations of machine learning. Algorithms for both supervised learning and unsupervised learning. Maximum likelihood estimation, neural networks, and regularization.

Prerequisites

COMP 251, MATH 222, MATH 223, and MATH 323.

Prerequisite courses: COMP 251, MATH 222, MATH 223, MATH 323

Restrictions

Not open to students who have taken or are taking COMP 551 or MATH 462.

Courses that need COMP 451

COMP 562
COMP 565
COMP 654
MATH 562

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Source: McGill Course Catalogue. myDegree is an independent student project, not affiliated with McGill University.