# Introduction

![](http://p11slcnom.bkt.clouddn.com/banner-MLM-201803.png)

## 作者：[RiboseYim](https://riboseyim.github.io/2016/05/31/AboutMe/)

[Linkedin](https://www.linkedin.com/in/riboseyim/) [简书主页](http://www.jianshu.com/u/8cc1dba4bc96) [知乎专栏](https://www.zhihu.com/people/riboseyim) [开源中国](https://my.oschina.net/zijingshanke/blog) [Telegram](https://t.me/riboseyim) [Mail](mailto:riboseyim@gmail.com)

## 章节

* [Chapter 1: 机器学习导论](https://riboseyim.gitbook.io/ai/master)
* [神经网络基础](https://riboseyim.gitbook.io/ai/broken-reference)
* [机器学习项目 Top 30](https://riboseyim.gitbook.io/ai/broken-reference)
* [Chapter 2: 机器学习算法](https://riboseyim.gitbook.io/ai/master)
* [机器学习算法 Top 10](https://riboseyim.gitbook.io/ai/broken-reference)
* [如何选择机器学习算法](https://riboseyim.gitbook.io/ai/broken-reference)
* [Chapter 3: 机器学习应用开发](https://riboseyim.gitbook.io/ai/master)
* [Machine Learning(一):基于 TensorFlow 实现宠物血统智能识](https://riboseyim.gitbook.io/ai/broken-reference)
* [Machine Learning(二):宠物智能识别之 Using OpenCV with Node.js](https://github.com/riboseyim/ebook-machinelearning/tree/aa6187b83a3cd9e0c49f5ff4adfd260ca3cd1af4/chapter/app/Machine-Learning-OpenCV/README.md)
* [Chapter N: 人工智能与社会](https://riboseyim.gitbook.io/ai/master)
* [经济学家谈人工智能](https://riboseyim.gitbook.io/ai/broken-reference)
* [经济学人：计算机如何学习人类语言？](https://riboseyim.gitbook.io/ai/broken-reference)
* [经济学人：译者为何忧虑？](https://riboseyim.gitbook.io/ai/broken-reference)

## Community

更多精彩内容请扫码关注公众号,[RiboseYim's Blog:riboseyim.github.io](https://riboseyim.github.io/?product=ebook\&id=machinelearning) ![微信公众号@睿哥杂货铺](http://o8m8ngokc.bkt.clouddn.com/ID_RiboseYim_201706.png)

### 读者交流

* [简书专题|《Machine Learning 小组》](https://www.jianshu.com/c/e94623c9ea2a)
* [知识星球|《Machine Learning》](https://t.zsxq.com/zFUF2zv)

![知识星球|Machine Learning](http://o8m8ngokc.bkt.clouddn.com/riboseyim_id_quanzi_machinelearning.png)

### Latest Version

<https://www.gitbook.com/book/riboseyim/machine-learning/details>

### 快捷下载

## Thanks

Thanks to my family and colleagues.

## License

版权声明：自由转载-非商用-非衍生-保持署名 | [Creative Commons BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode)