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Jan 15, 2025
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CSCI 484 Machine Learning - 3 credits
Prerequisite(s): A grade of ‘C’ or better in CSCI 220 and MATH 160 or MATH 160B or MATH 242 /MATH 242L
This course provides an introduction to pattern recognition and machine learning. Topics may include probabilistic learning, linear discriminants, neural networks, unsupervised learning, decision trees, Bayesian networks, support vector machines, and reinforcement learning.
Semester(s) Offered: Offered as needed
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