logo

Explain boosting in data science.

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

标签: Data Science

参考答案摘要

Boosting is one of the ensemble learning methods. Unlike bagging, it is not a technique used to parallelly train our models. In boosting, we create multiple models and sequentially train them by combi...

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。

← 返回面试题库

Explain boosting in data science.

Mediummachine-learningstatisticspythondata-visualization

想查看完整答案?

登录匠人学院学习中心,获取 STAR 格式回答和详细技术解析

前往学习中心查看答案