最近看到一个比较好的机器学习课程，大致听了一遍。整体感觉机器学习领域还是比较难，虽然李宏毅老师讲得还是挺好的，没有足够基础吸收起来还是有一定困难。即便是已经把过程讲了一遍，也很难理解到那些理论是如何构建起来的。这个课程一个好是讲到了当前最热的深度学习，建议按需选择学习。
下面就列一下课程的大纲，video可以在youku看到（不知是否涉及版权问题，我好不容易从y2b下载下来，发现有人最近已经上传了），其他资料可以到课程主页下载。
Introduction of this course pdf (2016 /09/23)
HW0 pdf, video (2016 /09/23)
Learning Map pdf, video (2016 /09/30)
Regression: Case Study pdf,video(2016 /09/30)
HW1 pdf (2016/09/30)
Gradient Descent pdf,video(2016 /10/07)
Where does the error come from? pdf,video(2016/10/07)
Classification: Probabilistic Generative Model pdf, video(2016 /10/07)
Classification: Logistic Regression pdf,video (2016/10/14)
HW2 pdf (2016/10/15)
Brief Introduction of Deep Learning pdf,video (2016/10/14)
Backpropagation pdf,video(2016/10/28)
“Hello world” of deep learning pdf,video(2016/10/28)
Convolutional Neural Network pdf,video(2016/10/28)
HW3 pdf (2016/10/28)
Tips for deep learning pdf,video(2016/11/04)
Why deep pdf,video(2016/11/04)
Semi-supervised Learning pdf,video(2016/11/11)
Unsupervised Learning: Linear Dimension Reduction pdf,video(2016/11/11)
HW4 pdf (2016/11/18)
Unsupervised Learning: Deep Auto-encoder pdf,video (2016/11/18)
Unsupervised Learning: Word Embedding pdf,video (2016/11/25)
Unsupervised Learning: Neighbor Embedding pdf,video (2016/12/02)
Unsupervised Learning: Deep Generative Model pdf,video (part 1),video(part 2) (2016/12/02)
Final rule,project1,project2,project3 (2016/12/02)
Transfer Learning pdf,video(2016/12/09)
Support Vector Machine (SVM) pdf,video(2016/12/09)
Structured Learning: Introduction pdf,video (2016/12/09)
Structured Learning: Linear Model pdf,video (2016/12/09)
Structured Learning: Structured SVM pdf,video (2016/12/12)
Structured Learning: Sequence Labeling pdf,video (2016/12/23)
Structured Learning: Recurrent Neural Network pdf,video (part 1),video(part 2) (2016/12/30)
Ensemble pdf,video(2016/01/06)
Deep Reinforcement Learning: Scratching the surface pdf,video (2016/01/06)
