Advanced Concepts in Machine Learning for Energy

Catalog description

Credit 1.5. 1.5 Lecture Hour. Advanced topics in machine learning for data science in energy systems; topics include supervised and unsupervised learning, clustering, classification, advanced predictive models, advanced performance evaluation, neural networks and reinforcement learning. Prerequisites: Graduate classification; ENGY majors; ENGY 640 and ENGY 641 , or approval of instructor.