# AndrewNG-ML

**Repository Path**: xuzhanhong/AndrewNG-ML

## Basic Information

- **Project Name**: AndrewNG-ML
- **Description**: 吴恩达老师的机器学习课程个人笔记 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-12
- **Last Updated**: 2021-12-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AndrewNG-ML

#### 介绍
吴恩达老师的机器学习课程个人笔记 



#### 参考资料
* [参考GitHub](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)
* [在线笔记](http://www.ai-start.com/ml2014/)
* [网易云课堂-吴恩达机器学习](https://study.163.com/course/courseMain.htm?courseId=1004570029)




#### 学习进度

* [x] [1.绪论：初识机器学习](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/1.Introduction.md) @2020/05/14
* [x] [2.单变量线性回归](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/2.Univariate%20Linear%20Regression.md) @2020/05/16
* [x] [3.线性代数回顾](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/3.Linear%20Algebra%20Review.md) @2020/05/17
* [x] 4.配置Ovtave(跳过)
* [x] [5.多变量线性回归](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/4.Multivariate%20Linear%20Regression.md) @2020/05/20
* [x] 6.Octave/Matlab教程(跳过)
* [x] [7.Logistic回归](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/6.Logistic%20Regression.md) @2020/05/22
* [x] [8.正则化](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/7.Regularization.md) @2020/05/23
* [x] [9.神经网络学习](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/8.Neural%20Networks-Representation.md)
* [x] [10.神经网络参数的反向传播算法](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/9.Neural%20Networks-Learning%20.md) @2020/06/06
* [x] [11.应用机器学习的建议](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/10.Advice%20for%20applying%20machine%20learning.md) @2020/06/07
* [x] [12.机器学习系统设计](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/11.Machine%20learning%20system%20design.md) @2020/06/07
* [x] [13.支持向量机](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/12.Support%20Vector%20Machines.md) @2020/06/14
* [x] [14.无监督学习](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/13.Clustering.md) @2020/06/14
* [x] [15.降维](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/14.Dimensionality%20Reduction.md) @2020/06/16
* [x] [16.异常检测](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/15.Anomaly%20detection.md) @2020/06/20
* [x] [17.推荐系统](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/16.Recommender%20Systems.md) @2020/06/20
* [x] [18.大规模机器学习](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/17.Large%20scale%20machine%20learning.md) @2020/07/04
* [x] [19.应用实例：图片文字识别](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/18.Application%20example-%20%20Photo%20OCR.md) @2020/07/07
* [x] [20.总结与感谢](https://gitee.com/xuzhanhong/AndrewNG-ML/blob/master/note/19.Conclusion.md) @2020/07/07



Excercise

* [ ] 1.linear regression
* [ ] 2.logistic regression
* [ ] 3.neural network
* [ ] 4.NN back propagation
* [ ] 5.bias vs variance
* [ ] 6.SVM
* [ ] 7.kmeans and PCA
* [ ] 8.anomaly detection and recommendation