We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

BAYESIAN MACHINE LEARNING FOR MARKETING

MARKETNG 779
Course Description

Learn to resolve common marketing tasks such as consumer choice prediction, market analysis, and product development by using Bayesian statistical learning methods. A broad range of methods are covered, from standard approaches such as hierarchical modeling to more advanced techniques, including Bayesian Optimization and Bayesian Deep Learning.

Prerequisties

Graduate/professional standing and (GENBUS 656 , ECON 704 , ECON 709 , STAT 609 , or MATH/STAT 709 ) or declared in graduate Business Exchange program

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
Not Reported

Could not calculate change

Completion Rate
Not Reported

Could not calculate change

A Rate
Not Reported

Could not calculate change

Class Size
Not Reported

No change from Historical

No data available

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Similar Courses