# NTU-HsuanTienLin-MachineLearning

## 《机器学习基石》

这门课主要涉及机器学习关键问题的四个方面：

- **When Can Machine Learn?**

- **Why Can Machine Learn?**

- **How Can Machine Learn?**

- **How Can Machine Learn Better?**

其中每个方面包含4节课，总共有16节课。具体所有课程内容如下：

- **When Can Machine Learn?**
	
	- [The Learning Problem](https://redstonewill.com/65/)

	- [Learning to Answer Yes/No](https://redstonewill.com/70/)

	- [Types of Learning](https://redstonewill.com/73/)

	- [Feasibility of Learning](https://redstonewill.com/77/)

- **Why Can Machine Learn?**

	- [Training versus Testing](https://redstonewill.com/80/)

	- [Theory of Generalization](https://redstonewill.com/217/)

	- [The VC Dimension](https://redstonewill.com/222/)

	- [Noise and Error](https://redstonewill.com/227/)

- **How Can Machine Learn?**

	- [Linear Regression](https://redstonewill.com/232/)

	- [Logistic Regression](https://redstonewill.com/236/)

	- [Linear Models for Classification](https://redstonewill.com/243/)

	- [Nonlinear Transformation](https://redstonewill.com/246/)

- **How Can Machine Learn Better?**

	- [Hazard of Overfitting](https://redstonewill.com/249/)

	- [Regularization](https://redstonewill.com/252/)

	- [Validation](https://redstonewill.com/255/)

	- [Three Learning Principles](https://redstonewill.com/311/)

## 最后

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