Data Sciences and Operations 530:

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, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Optimization and Supply Chain Management, Social Entrepreneurship, Accounting (Data and Analytics)
  • Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16272R033Lecture2:00-3:20pmTue, Thu
41 of 40
Robertas GabrysACC310session dates
Information accurate as of August 17, 2018 7:15 am.