ECEN 478 PRACTICAL MACHINE LEARNING (3 credits)
Designed to provide a solid grasp of the methods of machine learning (ML) and how to build powerful ML models for discovering statistical regularities from both structured and unstructured data. Offers an introduction to Deep Learning for Computer Vision and Natural Language Processing. (Cross-listed with ECEN 878).
Prerequisite(s): CSCE/ECEN 155E, CSCE 155A, or CSCE 155N