Introduction to Machine Learning

Catalog description

This course introduces the fundamental concepts, algorithms, and engineering practices of machine learning. Students learn how data-driven models are designed, trained, evaluated, and integrated into intelligent systems. Emphasis is placed on scalable, reliable, and reproducible ML pipelines that support real-world intelligent system development. Prerequisites: MATH 270 . Corequisites: CSC 300 and ( STAT 281 or STAT 381 ).