我们仍在积极开发此网站。如果您遇到任何问题,请报告给我们! - 报告问题

BAYESIAN MACHINE LEARNING FOR MARKETING

MARKETNG 779
课程描述

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.

先修课程

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

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点
未报告

无法计算变化

完成率
未报告

无法计算变化

A率
未报告

无法计算变化

班级规模
未报告

与历史数据相比无变化

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序,数据来自 Rate My Professors

相似课程