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MTH 4330 - Introduction to Machine Learni

Undergraduate | 4 Credits | 4 Hours
This course provides an introduction to Machine Learning, where students will learn both theory and application of this subject. Students will get exposure to a broad range of machine learning methods and hands-on practice with real data. Topics include linear and logistic regression, support vector machines, decision trees, dimensionality reduction, unsupervised learning, and neural networks.
Prerequisite: Three courses, one from each of the following groups (or departmental permission): 1) MTH 3300 or CIS 2300; 2) MTH 2600, 2610, 2630, 3006, or 3010); and 3) MTH 3210 or MTH 4100)