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Nov 10, 2024
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CPSC 4430 - Machine Learning: Implementation and Evaluation 3 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. Preq: CPSC 1020 or CPSC 1070 or ECE 2220; and MATH 3020 or STAT 3090 or STAT 3300. Students must have earned a grade of C or higher in all prerequisite courses.
This 4000-level course has a 6000-level counterpart. Students should refer to the Graduate Catalog for the 6000-level description and requirements.
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