第一章第二课机器学习ML工具扩展包The second less

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The second lesson machine learning ML tool extension package
我们本次课程所用的的Python深度学习扩展包
是也华盛顿大学开源的Graphlab Create and SFrame
本次教学不是让学生学习给给深度学习包
而是然学生了解机器学习的核心算法
推荐使用Graphlab Create and SFrame
这样可以大大的提高我的学习效率
在未来学习的案例里面面对大量数据的高效处理。
We used Python in this course to learn the extension package in depth
Is also the University of Washington open source Graphlab Create and SFrame
This lesson is not for students to learn to give the depth of learning package
But students understand the core algorithm of machine learning
Recommend the use of Graphlab Create and SFrame
This can greatly improve my learning efficiency
In the case of future learning to face a large number of efficient data processing.

<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>

Python的安装我就不多说了吧
{Install GraphLab Create：
https://turi.com/download/install-graphlab-create.html
注：申请学术许可免费使用：

6.png
}