Introduction to Machine Learning

Catalog description

Allows students to explore current trends and techniques related to machine learning (ML), blending theoretical concepts with applied projects in artificial intelligence. Topics include machine learning methodologies, classification algorithms, evolutionary computation, neural networks, deep learning, reasoning, modeling, and examination of emerging trends in the field. Course offered once a year (fall or spring). Prerequisite(s): CSIT 210 and MATH 153 or permission of the Program Director