Bayesian Machine Learning for Marketing
This course teaches Bayesian statistical learning methods for marketing tasks like consumer choice prediction and product development.
Summary
No student feedback recorded yet.
Grade history
↗letter grades
No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing and (GEN BUS 656,ECON 704, 709,STAT 609, or STAT/MATH 709) or declared in graduate Business Exchange program
- Graduate/professional standing
- take one
- declared in graduate Business Exchange program
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Graduate/professional standing
- Any of
- declared in graduate Business Exchange program
- All of
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
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.
difficulty & workload
No workload feedback recorded.
Topics
Skills
Grades
Grade distribution · % of letter grades
No grades available yet.
More grade details Grade mix, volume & source data
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "2fdcc0ef62ca869d4e84b06b6b44d902c647d0cb5ffbcc517985fde189a7bf29",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}