STAT 46700 - Topics In Data Science

Prerequisite(s): STAT 34600 FOR LEVEL UG WITH MIN. GRADE OF C AND STAT 43100 FOR LEVEL UG WITH MIN. GRADE OF C

Credit Hours: 3.00. Varies from year to year but possible topics include Monte Carlo methods, Bayesian statistics, statistical analysis of network data, Bayesian networks, classification and regression trees (CART), random forests, neural networks, machine learning, resampling methods. Extensive use of a statistical computer package will be required. Typically offered Fall Spring.

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