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)
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