What is a propensity model and how are beta estimates calculated by MLE?

What is a propensity model and how are beta estimates calculated by MLE?

题目类型: 技术面试题

这是一道技术面试题，常见于澳洲IT公司面试中。

难度: medium

分类: problem-solving

标签: Apple Data Science

目标岗位: Data Scientist

目标公司: Apple

参考答案摘要

回答要点：Propensity model estimates probability of treatment/action (e.g., purchase). For logistic regression, MLE maximizes log-likelihood; beta found via gradient methods (Newton/IRLS).

本题提供 STAR 原则详细解答和技术解析，登录匠人学院学习中心即可查看完整答案。