Artificial Intelligence I

Catalog description

This course will cover machine learning (ML) concepts, decision theory, classification, clustering, feature selection, and feature extraction. Emphasis is on the core idea and optimization theory behind ML methods. Important ML applications (including biometrics and anomaly detection) will also be covered. Prerequisite Course(s): Prerequisite: CSCI 651