M X39G M 339G Predictive Analytics 3 Hours
3 Lecture Hours 0 Lab Hours
Designed for students in mathematics and actuarial science. Explore an introduction to predictive modeling that starts with least squares as a foundation and takes a modern approach applicable to classification and prediction in the presence of large datasets. Mathematics 339G and 375T (Topic: Predictive Analytics) may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: The following with a grade of at least C-: Mathematics 341 or 340L; and Mathematics 358K or 378K.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division