COMP 4630 - Machine Learning

Credit(s): 3
Lecture Hour(s): 3
Lecture Hours Schedule Type: Lecture
Tutorial Hour(s): 1

This course provides a broad introduction to machine learning. Topics include supervised learning, unsupervised learning, neural networks and reinforcement learning. This course will also discuss recent applications of machine learning such as robotics, data mining, autonomous navigation, speech recognition, and text and web processing.

Prerequisite(s): A minimum grade of “C-” in both COMP 3625 and MATH 2234.
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