第一章第一课机器学习(ML)开篇Python为工具
2017-05-21 本文已影响26人
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这是机器学习ML基础入门篇的课程
学员应具备 Python语言基础 线性代数基础 概率论基础
{基础学习推荐:
Python语言基础:<a href="http://www.maiziedu.com/course/946/">GO 麦子学院</a>
线性代数基础<a href="http://www.xuetangx.com/courses/course-v1:SDUx+00931800X+sp/about">GO 学堂在线</a>
概率论基础<a href="http://www.xuetangx.com/courses/course-v1:MITx+6_041x+2017_T1/about">GO 学堂在线</a>
}
<h1>在未来的学习中我们将引入案例的分析引入模型和算法的感念实践中学习。
In the future study we will introduce the case analysis into the model and the algorithm of learning in practice.</h1>
这篇文章只是此课程的总体介绍
为此列出我们即将学习的几个案例
![](https://img.haomeiwen.com/i2489344/fadd3488d5f8c27e.png)
![](https://img.haomeiwen.com/i2489344/f3d089239129162b.png)
![](https://img.haomeiwen.com/i2489344/59e783c1aa6127e5.png)
![](https://img.haomeiwen.com/i2489344/968e33276741f173.png)
![](https://img.haomeiwen.com/i2489344/d72ffd35a46ec37d.png)
![](https://img.haomeiwen.com/i2489344/9b8a3c3740ad8117.png)
Thinks!