2024-2025 Undergraduate Catalog

CPS 3830 MACHINE LEARNING FOUNDATIONS

This course will delve into traditional Machine Learning (ML) algorithms, covering supervised learning, unsupervised learning, reinforcement learning, feature selection and management, and model evaluation. The focus will be on understanding and implementing these algorithms using a programming language. The practical application of these algorithms to real-world scenarios will be emphasized throughout the course.

Credits

3

Prerequisite

CPS*2800 and CPS*2232 or CPS*2240