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Nov 09, 2024
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CPSC 6430 - Machine Learning: Implementation and Evaluation3 Credits (3 Contact Hours)
Students learn to code machine learning algorithms from basic principles, without machine learning libraries. Topics include supervised learning such as regression and classification; unsupervised learning, such as clustering; and measures of performance such as bias/variance theory, measures, and error metrics. Students must be familiar with principles of probability and statistics and must have programming experience when enrolling in this course.
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