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| ACSI 6110 - Predictive Analytics |
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Prerequisite: ACSI 5140 or consent of instructor. Topics include generalized linear models, logistic regression, discriminant analysis, support vector machines, ridge regression, lasso, sparse modeling, variable selection, model selection, and other selected topics from computational statistics, machine learning, and data mining.
3.000 Credit hours Levels: Graduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: College of Basic & Applied Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: for ACSI 6110 General Requirements: ( Course or Test: ACSI 5140 Minimum Grade of C May not be taken concurrently. ) |
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