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Information Select the Course Number to get further detail on the course. Select Schedule Type to find available sections of the course as well as section specific prerequisites. Prerequisites listed in the catalog descriptions are recommended and may not be the same as registration prerequisites in PipelineMT. Use the Look Up Classes link for a grid display of important course information as well as prerequisites and memo notes about the section.

ACSI 6110 - Predictive Analytics
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


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Release: 8.7.2.4