CSC 371 - Machine Learning
Instructor
Staff
A survey of the field of machine learning, with an introduction to the fundamental algorithms in the field and the theory underpinning them. Topics include techniques for regression, classification, ensemble methods, and dimensionality reduction.
Satisfies the Applications elective requirement in the Computer Science major.
Satisfies an elective requirement in the Computer Science minor.
Counts towards the Mathematics major and minor.
Counts as an elective in the Data Science interdisciplinary minor.
Prerequisites & Notes
CSC 221 and one of CSC/MAT 220 or MAT 230
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