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https://github.com/scruel/notes-ml-andrewng

Coursera吴恩达机器学习课程笔记及资源整理
https://github.com/scruel/notes-ml-andrewng

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Coursera吴恩达机器学习课程笔记及资源整理

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# Notes-ML-AndrewNg
[![github](https://img.shields.io/github/stars/scruel/Notes-ML-AndrewNg?logo=github&label=Stars)](https://github.com/scruel/Notes-ML-AndrewNg)
[![star](https://img.shields.io/badge/dynamic/json?label=Stars&query=%24.stargazers_count&url=https%3A%2F%2Fgitee.com%2Fapi%2Fv5%2Frepos%2Fscruel%2FNotes-ML-AndrewNg&logo=gitee)](https://gitee.com/scruel/Notes-ML-AndrewNg)

💌 Sponsor this project: https://afdian.net/@scruel

课程地址:

https://www.coursera.org/learn/machine-learning

(吴恩达老师在 Coursera 上的机器学习公开课)

感谢关注,欢迎分享。

[知乎文章][zhihu]

## Read

在线阅读:http://scruel.github.io/Notes-ML-AndrewNg

注:笔记源码(.md)的编辑器为 [Typora][Typora],使用其他编辑器可能有排版问题,建议在线阅读。

## Resources

方便网络不方便的同学学习

[百度网盘下载][baidupan] | 密码:fdzc(包含视频,讲义,以及编程作业题原题压缩包)

[B站在线中英双语][bilibili_zh] | [B站在线英文版1][bilibili_en1] | [B站在线英文版2][bilibili_en2]

当然,还是建议克服一下困难,最好能上 Coursera 网站学习,官网安排的贴心小测试可以检验你对知识的掌握情况。

如果遇到 Coursera 上提交编程作业失败的问题,以 [submitWithConfiguration.m](https://github.com/scruel/Notes-ML-AndrewNg/blob/master/assignments/submitWithConfiguration.m) 覆盖编程作业中 lib 文件夹下的同名文件即可解决。

## Thanks

- Coursera 官网
- @小小人_V 笔记
- 52nlp

注:由于手写笔记成稿时间较早,有所参考无法一一致谢,在此统一表示谢意!

## License
[![Creative Commons License](https://i.creativecommons.org/l/by-nc/4.0/88x31.png)][CC BY-NC 4.0]

This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License][CC BY-NC 4.0].

Copyright © Scruel. All Rights Reserved.

本人所作的所有笔记内容**禁止任何商业形式(包括广告形式)的转载**,非商业形式的转载**请先联系我授权**,在承诺不会用于商业用途后方可使用,且需声明转载地址(Gitee/GitHub)。

[zhihu]: https://zhuanlan.zhihu.com/p/32781741
[baidupan]: https://pan.baidu.com/s/1mkmnRIC
[bilibili_zh]: http://www.bilibili.com/video/av9912938
[bilibili_en1]: https://www.bilibili.com/video/av17624209
[bilibili_en2]: https://www.bilibili.com/video/av17624412/
[GitHub with MathJax]: https://chrome.google.com/webstore/detail/ioemnmodlmafdkllaclgeombjnmnbima
[Typora]: https://typora.io/
[honor code]: https://www.coursera.org/learn/machine-learning/supplement/nh65Z/machine-learning-honor-code
[CC BY-NC 4.0]: http://creativecommons.org/licenses/by-nc/4.0/