CSC 325 Introduction to Machine Learning (3 credits)

Hours: 3 classroom + 0 lab/studio
Prerequisite(s): C- or better in STA 205 (or STA 205R ) or STA 250 or MAT 103 or higher, and C- or better in INF 120 , or consent of instructor.
Taught: Spring only
Machine learning algorithms for supervised and unsupervised learning including neural networks, support vector machines, Bayesian probabilities, ensemble learning, random forests, hidden Markov models, deep learning techniques; projects use tools with some Python programming. Intended for non-CSC/DSC majors, not open to students who have completed CSC 425 or DSC 411 .
Repeatable: No
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CSC 325 Introduction to Machine Learning (3 credits)