CH EN 5208 - Machine Learning for Chemical Engineers

Machine learning is a convergence of linear algebra, statistics, optimization, and computational methods to allow computers to make decisions and take actions from data. Examples of machine learning are now pervasive and are expected to further influence the transportation, entertainment, retail, and energy industries. This engineering course reviews theory and applications of machine learning for engineering applications with a survey of unsupervised and supervised learning methods.