Applied Modern Statistical Learning Methods (3.0 units)
Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
- Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Education, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Administration/Planning, Business Research, Business Taxation, Business Analytics, Gerontology/Business Administration, Business Administration, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Optimization and Supply Chain Management, Global Supply Chain Management, Social Entrepreneurship
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
- Note: Sections 16275 and 16276 are MS Business Analytics core courses, and are intended for students admitted to the MS Business Analytics program only. However if any seats are available, other Marshall graduate students can register via USC Web Registration. If the class is full, Marshall graduate students can submit a completed Wait List Request form to firstname.lastname@example.org. These sections are not available to non-Marshall graduate students.
52 of 52(2 on waitlist)
|16276R||033||Lecture||9:30-10:50am||Mon, Wed||39 of 40||Xin Tong||JKP210|