Data Science Fundamentals for Energy II - Predictive Modeling

Catalog description

Credit 1.5. 1.5 Lecture Hour. Machine learning methods for data science in energy systems, with focus on predictive models and evaluation techniques for understanding performance models; topics include supervised learning, classification, predictive models, performance evaluation, neural networks, and deep learning with different data types. Prerequisites: Graduate classification; ENGY majors; ENGY 640 or approval of instructor.