EE4331 - Applied Machine Learning

EE 4331 Applied Machine Learning (3 semester credit hours) Introduction to machine learning; supervised and unsupervised learning models; neural network and deep neural network learning models; work-flow; performance measures; implementation strategies for machine learning, social impacts and ethics of machine learning. Prerequisites: MATH 2419 and ENGR 2300 and ENGR 3341. (3-0) S