University of Florida 3 credits Geography
Hands-on experiences with Machine Learning (ML) from a series of practical case-studies in meteorology. Regression, classification, clustering and retrieval, and deep learning to solve research questions by identifying potential applications of ML, selecting appropriate ML models, representing data as features to serve as input to ML models, and assessing model quality Prerequisite: Any 3000 level or higher MET prefix course or permission of instructor.
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