COE546 Machine Learning

[3–0, 3 cr.]

This course provides a comprehensive introduction to the field of machine learning, covering fundamental concepts, techniques, and applications. Students will gain a foundation in both theoretical principles and hands-on coding. The course is organized to progressively guide students through various aspects of machine learning, from the basics to more advanced topics in machine learning. 

Prerequisites: (GNE331 or MTH305 Probability & Statistics) and fourth-year standing.