NTU Lin Xuantian's "machine learning cornerstone" problem solving and code implementation | [you deserve it]

Mr. Lin Xuantian from Taiwan University 《 Building blocks of machine learning 》、《 Machine learning techniques 》 The course goes from shallow to deep 、 comprehensive , It basically covers many aspects of machine learning . It is very suitable for the introduction and advanced information of machine learning . This website realizes most of the exercises in the course materials , And made detailed notes , stay github To share .（ Exercise author ： Qin Zhen ）

Mr. Lin Xuantian from Taiwan University 《 Building blocks of machine learning 》 The course goes from shallow to deep 、 comprehensive , It basically covers many aspects of machine learning . It is very suitable for the introduction and advanced information of machine learning . And Mr. Lin's teaching style is also very humorous , Always let readers master knowledge in a relaxed and pleasant atmosphere . Here it is , The author will take all the videos of this course 、 Books, codes and other details are shared with you .

First of all, attach the home page of this course ：

​ ​https://www.csie.ntu.edu.tw/~htlin/​​

Course video

stay B You can watch it directly from the station ～ Here's the portal ：

​ ​https://www.bilibili.com/video/av12463015/​​

Course books

Lin Xuantian machine learning cornerstone this course has a matching Textbook ：《Learning From Data》, Lin Xuantian is also one of the editors . The home page of this book is ：http://amlbook.com/

Exercise answers and codes

Qin Zhen, a master student at Tsinghua University, put 《Learning From Data》 All the exercises have been sorted out , It is convenient for you to consult and reference others in the future . It took more than half a year , Except for chapter six , Except for a few exercises in Chapters 8 and 9 , All other exercises have been completed .

​ ​https://github.com/Doraemonzzz/Learning-from-data, And keep updating .​​

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Tsinghua boss   Qin Zhen   It has realized Teacher Lin Xuantian's 《 Building blocks of machine learning 》、《 Machine learning techniques 》 Course materials 《Learning From Data》 Most of the exercises , And made detailed notes , stay github To share . This valuable information is very suitable for the introduction and advanced information of machine learning .

All data downloads of this article can be replied in the background “ Lin Xuantian ” Get the corresponding information

I always feel like I don't know the key point without sending pictures ？

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