Data Mining and Machine Learning.

Catalog description

Semester course; 2 lecture hours (delivered face-to-face or hybrid). 2 credits. Enrollment is restricted to students in the Master of Decision Analytics weekend program. Introduces core data‑mining tasks—classification, regression, clustering, association analysis and anomaly detection—with implementation in software and interpretation of results. Emphasis is on applying pre-existing numerical and analytical software libraries.