[Handling] machine learning courses at Taiwan University by Li Hongyi __ Machine Learning

Recently saw a relatively good machine learning course, roughly heard it again. The overall sense of machine learning field is still more difficult, although Li Hongyi teacher said is very good, not enough to absorb up or have a certain difficulty. Even though the process has been told, it is difficult to understand how those theories were constructed. This course is a good one to talk about the current hottest depth study, suggest to choose to study on demand.

The following is a list of the curriculum, video can be seen in Youku (I do not know whether the copyright issue, I finally downloaded from the y2b, found that someone has recently uploaded), other materials can be downloaded to the course homepage.

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 surface pdf,video (2016/01/06)