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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: Winter 2021

Instructors: Hamilton, William (Winter)

• Prerequisite: COMP 251, MATH 222, MATH 223, and MATH 323.

• Restriction: Not open to students who are taking or have taken COMP 551.