Mar 28, 2024  
2022-2023 Undergraduate Catalog 
    
2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]

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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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