# 機器學習基石&技法 - 林軒田

## 機器學習基石 - 林軒田

### [Ch1 The Learning Problem](https://hackmd.io/@johnnyasd12/r1D9VlniB)

### [Ch2 Learning to Answer Yes/No](https://hackmd.io/@johnnyasd12/r1gwrnG6B)

### [Ch3 Types of Learning](https://hackmd.io/@johnnyasd12/HkUnP2MpB)

### [Ch4 Feasibility of Learning](https://hackmd.io/@johnnyasd12/Sy1zu2fTS)

### [Ch5 Training vs Testing](https://hackmd.io/@johnnyasd12/BJS8dhf6S)

### [Ch6 Theory of Generalization](https://hackmd.io/@johnnyasd12/SkGkFnG6S)

### [Ch7 VC Dimension](https://hackmd.io/@johnnyasd12/S1o4Y2zaS)

### [Ch8 Noise and Error](https://hackmd.io/@johnnyasd12/H1SKt3zpS)

### [機器學習基石上 - 延伸閱讀](https://hackmd.io/@johnnyasd12/SyBisgK0B)

### [Ch9 Linear Regression](https://hackmd.io/@johnnyasd12/HyQCYnfaB)

### [Ch10 Logistic Regression](https://hackmd.io/@johnnyasd12/HJxaXmMRr)

### [Ch11 Linear Models for Binary Classification](https://hackmd.io/@johnnyasd12/HJqMeFERr)

### [Ch12 Nonlinear Transformation](https://hackmd.io/@johnnyasd12/H1djpMB0H)

### [Ch13 Hazard of Overfitting](https://hackmd.io/@johnnyasd12/rJbnADUAB)

### [Ch14 Regularization](https://hackmd.io/@johnnyasd12/Hyse98wCS)

### [Ch15 Validation](https://hackmd.io/@johnnyasd12/Sk9V-hwAH)

### [Ch16 Three Learning Principles](https://hackmd.io/@johnnyasd12/rybZ-idAr)

### [機器學習基石下 - 延伸閱讀](https://hackmd.io/@johnnyasd12/SJf8cxKCB)

## 機器學習技法 - 林軒田

### [Slides & Videos](https://www.csie.ntu.edu.tw/~htlin/mooc/)

### [Ch1 Linear SVM](https://hackmd.io/@johnnyasd12/r1Pa52MTr)

### [Ch2 Dual Support Vector Machine](https://hackmd.io/@johnnyasd12/HkyoeuCRS)

### [Ch3 Kernel Support Vector Machine](https://hackmd.io/@johnnyasd12/HJ_CkNwJI)

### [Ch4 Soft-Margin Support Vector Machine](https://hackmd.io/@johnnyasd12/BJ2kx1oy8)

### [Ch5 Kernel Logistic Regression](https://hackmd.io/@johnnyasd12/rJ7b58WxL)

### [Ch6 Support Vector Regression](https://hackmd.io/@johnnyasd12/H1gfLpMlI)

### [Ch7 Blending and Bagging](https://hackmd.io/@johnnyasd12/SkxlsunxU)

### [Ch8 Adaptive Boosting](https://hackmd.io/@johnnyasd12/Bk1joyIZU)

### [Ch9 Decision Tree](https://hackmd.io/@johnnyasd12/HJfYmhSWD)

### [Ch10 Random Forest](https://hackmd.io/@johnnyasd12/ryiCbXnzD)

### [Ch11 Gradient Boosted Decision Tree](https://hackmd.io/@johnnyasd12/ByzGXQXBD)

### [Ch12 Neural Network](https://hackmd.io/@johnnyasd12/rygcMQ3SD)

### [Ch13 Deep Learning](https://hackmd.io/@johnnyasd12/r1EjsfASv)

### [Ch14 Radial Basis Function Network](https://hackmd.io/@johnnyasd12/B1Z8sx_ID)

### [Ch15 Matrix Factorization](https://hackmd.io/@johnnyasd12/HJArXbhIv)

### [Ch16 Finale](https://hackmd.io/@johnnyasd12/ByWkkppIv)

## 其他

### [Slides & Videos](https://www.csie.ntu.edu.tw/~htlin/mooc/)