Routes and resources of AI

According to a B Stand in my little sister's class
link : https://pan.baidu.com/s/1Jh13wDjGEwr59C0yeiIAQA password : wuef

The main route ：

1.2.1、 Wu Enda's Stanford machine learning ace course CS229, After class, there are requirements and supplements for students' mathematical knowledge , These mathematical knowledge fully meet the requirements of machine learning , No more, no more . Wall cracks are recommended , But only the English version .

link ：https://pan.baidu.com/s/1NrCAW38C9lXFqPwqTlrVRA password ：3k3m

1.2.2、 One of the three founders of deep learning Yoshua Bengio Deep learning of writing （ Including machine learning ） Textbooks in the field , It is now open source on the Internet . This book is known as the Bible of deep learning . Here we only read the first part of this book , That is, the foundation of Mathematics . It includes all the necessary mathematical foundations for machine learning , And it starts from the most basic , Not much , Must read .

link ：https://pan.baidu.com/s/1GmmbqFewyCuEA7blXNC-7g password ：6qqm

1.2.3、 Mathematical knowledge combined with machine learning algorithms . The above two parts are mathematics at the theoretical level , Apply these algorithms to machines .

link ：https://zhuanlan.zhihu.com/p/25197792, Know a good article in the column , It covers all the applied knowledge points .

Okay , In mathematics, I only recommend the above three resources , All three are must see . You may not understand many of them now , No problem . Go through it roughly first , Know your math level . When I see algorithm knowledge , If you don't understand, just come back and make up . I will update more math materials later .

linear algebra ：

video ：
The essence of linear algebra . This video corresponds to csdn note
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2

Algorithm ：

video
Video notes

Some good books

（ Blog ）
Zhu Mingchao's GitHub
Zhihu Chuantuo scholar
B Brother Tongji Zihao standing Eyes of depth