机器学习算法入门_决策树_随机森林模型

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机器学习算法快速入门系列4-决策树与随机森林

机器学习算法快速入门系列4-决策树与随机森林

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机器学习算法快速入门系列4-决策树与随机森林

机器学习算法快速入门系列4-决策树与随机森林

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课程视频时间

47 分钟
语言

英文
课程类型

线上

USD 10.00

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课程介绍

本课程是阿里云机器学习算法快速入门系列的第四课，本课主要介绍决策树主要的算法，介绍剪枝原理及特征工程的应用，详细讲解并演示在PAI中如何对生成不同的随机森林模型进行比较和选择，为后续的机器学习课程奠定基础。

适合人群

机器学习初学者，云计算初学者

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考试

认证:

Apsara Clouder—大数据：机器学习算法快速入门系列4-决策树与随机森林
考试类型：

线上
语言:

英文
考试时间：

30 分钟
考试机会：

2次

相关课题

机器学习算法快速入门系列4-决策树与随机森林

在PAI中如何利用决策树和随机森林模型解决分类问题。

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课程目标
理解决策树模型的主要算法和剪枝原理
运用特征工程优化随机森林模型
掌握模型比较和模型选择的关键指标
实践：在PAI中应用随机森林模型

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