COMP 451 Fundamentals of Machine Learning (3 credits)

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COMP 451 Fundamentals of Machine Learning (3 credits)

Offered by: Computer Science (Faculty of Science)

Overview

Computer Science (Sci) : 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.

Terms: Fall 2022

Instructors: Ravanbakhsh, Siamak (Fall)

Prerequisite: COMP 251, MATH 222, MATH 223, and MATH 323.
Restriction: Not open to students who are taking or have taken COMP 551.

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COMP 451 Fundamentals of Machine Learning (3 credits)

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