Machine Learning Applications in Science. 3 credits

Catalog description

Covers practical applications in STEM areas of decision trees, rule-based classification, support vector machines, Bayesian networks, ensemble methods, and Neural Networks. Emphasis resides on the process of applying machine learning effectively to a variety of problems. Offered by Computational & Data Sciences . Limited to three attempts.