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Apr 18, 2024
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COMP 420 - Machine Learning
3 Credits
This course provides an overview of fundamental concepts, techniques and algorithms in machine learning. In addition to learning machine learning algorithm concepts, students will also experience implementing a variety of algorithms. Covered topics include classification, neuron network, support vector machines, hidden Markov models, Bayesian networks, etc.
Prerequisite(s): COMP 250 - Introduction to Data Mining and COMP 330 - Algorithm Analysis
Other: This is a required course for the Computer and Data Science program
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