Introduction to Machine Learning for Electrical Engineers

Catalog description

Introduces machine learning for electrical engineering students. Topics covered include supervised machine learning, neural networks, deep learning, unsupervised learning and clustering methods, and reinforcement learning. Course overlaps with: E E 344. Prerequisite: a minimum grade of 2.0 in either TMATH 208 or MATH 208; and a minimum grade of 2.0 in TCES 380.