# NTU-HsuanTienLin-MachineLearning
	
## 《机器学习技法》

这门课主要涉及机器学习经典算法的三个方面：

- **Embedding Numerous Features: Kernel Models**

- **Combining Predictive Features: Aggregation Models**

- **Distilling Implicit Features: Extraction Models**

总共有16节课。具体所有课程内容如下：

- **Embedding Numerous Features: Kernel Models**
	
	- [Linear Support Vector Machine](https://redstonewill.com/345/)

	- [Dual Support Vector Machine](https://redstonewill.com/369/)

	- [Kernel Support Vector Machine](https://redstonewill.com/393/)

	- [Soft-Margin Support Vector Machine](https://redstonewill.com/417/)
	
	- [Kernel Logistic Regression](https://redstonewill.com/456/)
	
	- [Support Vector Regression](https://redstonewill.com/477/)

- **Combining Predictive Features: Aggregation Models**

	- [Blending and Bagging](https://redstonewill.com/509/)

	- [Adaptive Boosting](https://redstonewill.com/535/)

	- [Decision Tree](https://redstonewill.com/569/)

	- [Random Forest](https://redstonewill.com/601/)
	
	- [Gradient Boosted Decision Tree](https://redstonewill.com/644/)

- **Distilling Implicit Features: Extraction Models**

	- [Neural Network](https://redstonewill.com/682/)

	- [Deep Learning](https://redstonewill.com/710/)

	- [Radial Basis Function Network](https://redstonewill.com/739/)

	- [Matrix Factorization](https://redstonewill.com/783/)
	
	- [Finale](https://redstonewill.com/810/)

## 最后

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