CS 4120
MACHINE LEARNING
Machine learning is the study of mechanisms for acquiring knowledge from large data sets. This course examines techniques for detecting patterns in sets of uncategorized data. Supervised and unsupervised learning techniques are studied, with particular application to real-world data. PREREQUISITE: CS 1920, MATH 1920, MATH 2610 and STAT 1910 Three lecture hours per week
Sources
- Course catalogue ↗2026-2027