SYSU-ZhaoXu-Machine-Learning-Seminar

This project is the collection of Lecture Notes of SYSU-ZhaoXu Machine Learning Seminar.
The seminar is organized by XingYu Fu and MingWen Liu and sponsered by ZhaoXu Asset Management.
The people who contributed to the lecture notes during the seminar are: XingYu Fu; Miao Cai; Ke Xue; FuKeng He; TanLi Zuo; Zheng Xie; Tao Dong; XiuWen Duan; YiFeng Guo; JinHong Du; I also give my special thanks to BaiAn Chen for the talk he gave and MingWen Liu for the financial support.
This is free to use the lecture notes for the non-commercial purpose of spreading knowledges.
For further contact, feel free to send email to [email protected]

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
1. K Nearest Neighbors.pdf		1. K Nearest Neighbors.pdf
10. AlphaGo Zero.pdf		10. AlphaGo Zero.pdf
11. Clustering.pdf		11. Clustering.pdf
12. Principal Component Analysis.pdf		12. Principal Component Analysis.pdf
2. PageRank.pdf		2. PageRank.pdf
3. Naive Bayes.pdf		3. Naive Bayes.pdf
4. Decision Tree.pdf		4. Decision Tree.pdf
5. Hidden Markov Chain.pdf		5. Hidden Markov Chain.pdf
6. Perceptron and Logistic Regression.pdf		6. Perceptron and Logistic Regression.pdf
7. Reinforcement Learning and Deep Q Network.pdf		7. Reinforcement Learning and Deep Q Network.pdf
8. Adaboost and Support Vector Machine.pdf		8. Adaboost and Support Vector Machine.pdf
9. Convolutional Neural Network.pdf		9. Convolutional Neural Network.pdf
README.md		README.md
courses.jpg		courses.jpg
discussion.jpg		discussion.jpg
open_ceremony1.jpg		open_ceremony1.jpg
open_ceremony2.jpg		open_ceremony2.jpg

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