机器学习算法快速入门_朴素贝叶斯

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机器学习算法快速入门系列2-朴素贝叶斯

机器学习算法快速入门系列2-朴素贝叶斯

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机器学习算法快速入门系列2-朴素贝叶斯

机器学习算法快速入门系列2-朴素贝叶斯

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课程视频时间

46 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二课，本课主要介绍概率论中的贝叶斯概率理论和朴素贝叶斯方法原理，以及朴素贝叶斯分类器模型的评价指标体系，详细讲解并演示如何使用PAI中的朴素贝叶斯模型解决业务问题，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2-朴素贝叶斯
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2-朴素贝叶斯

如何使用阿里云先进的机器学习算法平台（PAI），快速掌握机器学习中的朴素贝叶斯模型和算法，恰当解决业务相关的分类问题。

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了解贝叶斯概率理论
理解朴素贝叶斯方法原理
理解对朴素贝叶斯分类器模型的评价指标体系
实践：在PAI中应用朴素贝叶斯模型

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