[Heavyweight] Someone made a text version of Wu Enda's video course

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How to get started with machine learning and deep learning? I believe many people will recommend Andrew Ng's online courses.


However, this video online course also has its drawbacks. Just like many people do not like WeChat voice, it is not convenient to find and review relevant knowledge points in the video.


Therefore, a group of machine learning enthusiasts headed by Dr. Haiguang Huang launched a public welfare project (http://www.ai-start.com): subtitle translation and note-taking of Andrew Ng's machine learning and deep learning courses.


Recently, this project is finally nearing completion, and Dr. Huang Haiguang and others have also made a printed version of the course notes and put them on GitHub. After downloading, they can be printed directly, so that everyone can refer to them at any time.


In the second half of 2014, I began to translate the subtitles of Mr. Wu Enda's machine learning course, and wrote the Chinese notes of the course. The notes have been downloaded tens of thousands of times, which should have helped a lot of people, and many people have been helping me. Now I share the word manuscript and markdown manuscript of the notes with you.


I will put the markdown notes and course Chinese and English subtitles on github, I hope everyone can continue to improve. In order to facilitate the online display of mathematical formulas, the online viewing is an html file, the formula has been converted into a picture, and the formula source code is in the markdown file.


At present, the machine learning course has been completed and open sourced, and the deep learning course notes are about to be completed. During this period, I have received help from many students, thank you very much!


The online preview versions of the two courses are as follows:



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It prints out like this:


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The following are the resource addresses of these two courses, and interested readers can view or download them by themselves:


Machine learning course project address: https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes

Note address (PDF version): https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4% B9%A0%E4%B8%AA%E4%BA%BA%E7%AC%94%E8%AE%B0%E5%AE%8C%E6%95%B4%E7%89%88v5.22-A4% E6%89%93%E5%8D%B0%E7%89%88.pdf



Deep learning course project address: https://github.com/fengdu78/deeplearning_ai_books

Note address (Word version): https://pan.baidu.com/s/1bXOKaXCFw7ULpgBzSGIWMQ (password: 06h7)

Swipe lightly and welcome to pay attention~

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