# Book_李宏毅老師機器學習課程筆記
###### tags: `book`
台大李宏毅老師機器學習課程筆記
[課程撥放清單](https://www.youtube.com/channel/UC2ggjtuuWvxrHHHiaDH1dlQ/playlists)
課程筆記
---
- [ML_Lecture_0_Introduction of Machine Learning](https://hackmd.io/s/HyKhr5sRz)
- [ML_Lecture 1: Regression - Case Study](https://hackmd.io/s/HJU9aUY7Q)
- [ML_Lecture 2: Where does the error come from?](https://hackmd.io/s/SkkVG-3mm)
- [ML_Lecture 3: Gradient Descent](https://hackmd.io/s/SJQAF5fNm)
- [ML_Lecture 4: Classification](https://hackmd.io/s/ryHI_Q6VX)
- [ML_Lecture 5: Logistic Regression](https://hackmd.io/s/SJL1-hvBX)
- [ML Lecture 6: Brief Introduction of Deep Learning](https://hackmd.io/s/HJcJ6yZL7)
- [ML Lecture 7: Backpropagation](https://hackmd.io/s/r1cqatmI7)
- [ML Lecture 8: Keras](https://hackmd.io/s/HyyEoujUQ)
- [ML Lecture 9: tip for Deeplearning](https://hackmd.io/s/HyqabMGwX)
- [ML Lecture 10: Convolutional Neural Network](https://hackmd.io/s/ryorI7D_Q)
- [ML Lecture 11: Why Deep?](https://hackmd.io/s/S1q8nAFt7)
- [ML Lecture 12: Semi-supervised](https://hackmd.io/s/SJahWN49m)
- [ML Lecture 13: Unsupervised Learning - Linear Methods](https://hackmd.io/s/B1e4z59o7)
- [ML Lecture 14: Unsupervised Learning - Word Embedding](https://hackmd.io/s/r1iKfZu2Q)
- [ML Lecture 15: Unsupervised Learning - Neighbor Embedding](https://hackmd.io/s/HJxPwrIp7)
- [ML Lecture 16: Unsupervised Learning - Auto-encoder](https://hackmd.io/s/r1wmstiTX)
- [ML Lecture 17: Unsupervised Learning - Deep Generative Model (Part I)](https://hackmd.io/s/Hyl2f_mCm)
- [ML Lecture 18: Unsupervised Learning - Deep Generative Model (Part II)](https://hackmd.io/s/SJIBK8s0m)
- [ML Lecture 19: Transfer Learning](https://hackmd.io/s/BJKNpmoJN)
- [ML Lecture 20: Support Vector Machine (SVM)](https://hackmd.io/s/B1zzzspxE)
- [ML Lecture 21-1: Recurrent Neural Network (Part I)](https://hackmd.io/s/BJ14sUSzN)
- [ML Lecture 21-2: Recurrent Neural Network (Part II)](https://hackmd.io/s/Bkbr30QXV)
- [ML Lecture 22: Ensemble](https://hackmd.io/s/HJ5IdDoSE)
- [ML Lecture 23-1: Deep Reinforcement Learning](https://hackmd.io/s/By4AiVywN)
- [ML Lecture 23-2: Policy Gradient (Supplementary Explanation)](https://hackmd.io/s/S1Lw0m7wN)
- [ML Lecture 23-3: Reinforcement Learning (including Q-learning)](https://hackmd.io/s/BJjWytEDV)
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