MATH 3670
Mathematical Data Science
Linear methods for regression and classification, bias-variance tradeoff, and basis expansions and regularization. Kernel methods, support vector machines, dimension reduction, and clustering algorithms. Serves as repeat credit for MATH 3890-01 in Fall 2017. Prerequisite: one of 2810, 2820, or 3641; and one of 2410, 2501, or 2600. [3] (MNS)
Sources
- Course catalogue ↗2026–2027