Machine Learning for Engineers

Catalog description

Introduces machine learning to engineering students. Topics covered include supervised machine learning, neural networks, deep learning, unsupervised learning and clustering methods, and reinforcement learning. Prerequisite: a minimum grade of a 2.0 in either TMATH 207 or MATH 207; a minimum grade of a 2.0 in either TMATH 208 or MATH 208; a minimum grade of a 2.0 in either TCSS 143, CSE 123, or CSE 143; and a minimum grade of 2.0 in either TCES 380 or TMATH 390.