機器學習基石 - 林軒田 === ## [Slides & Videos](https://www.csie.ntu.edu.tw/~htlin/mooc/) ## [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)
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