CPS 3830 MACHINE LEARNING FOUNDATIONS

Introduction to traditional machine learning algorithms and their applications to real-world scenarios. Topics include supervised, unsupervised, and reinforcement learning; feature selection and management; model training and evaluation; and practical use of machine learning methods for data-driven problem solving.

Credits

3

Prerequisite

CPS*2800 (for CS and AI majors); Not open to IT majors