# 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/)
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