Machine Learning 2016 Fall
Course Materials
Powerpoint version of the slides are available here
Topic | Date | Video | |
---|---|---|---|
Introduction of this course | 2016/09/23 | ||
Learning Map | 2016/09/30 | Youtube | |
Regression: Case Study | 2016/09/30 | Youtube | |
Gradient Descent | 2016/10/07 | Youtube | |
Where does the error come from? | 2016/10/07 | Youtube | |
Classification: Probabilistic Generative Model | 2016/10/07 | Youtube | |
Classification: Logistic Regression | 2016/10/14 | Youtube | |
Brief Introduction of Deep Learning | 2016/10/14 | Youtube | |
Backpropagation | 2016/10/28 | Youtube | |
“Hello world” of deep learning | 2016/10/28 | Youtube | |
Tips for deep learning | 2016/11/04 | Youtube | |
Convolutional Neural Network | 2016/10/28 | Youtube | |
Why deep | 2016/11/04 | Youtube | |
Semi-supervised Learning | 2016/11/11 | Youtube | |
Unsupervised Learning: Linear Dimension Reduction | 2016/11/11 | Youtube | |
Unsupervised Learning: Word Embedding | 2016/11/25 | Youtube | |
Unsupervised Learning: Neighbor Embedding | 2016/12/02 | Youtube | |
Unsupervised Learning: Deep Auto-encoder | 2016/11/18 | Youtube | |
Unsupervised Learning: Deep Generative Model | 2016/12/02 | Youtube 1 Youtube 2 | |
Transfer Learning | 2016/12/09 | Youtube | |
Support Vector Machine (SVM) | 2016/12/09 | Youtube | |
Structured Learning: Introduction | 2016/12/09 | Youtube | |
Structured Learning: Linear Model | 2016/12/09 | Youtube | |
Structured Learning: Structured SVM | 2016/12/12 | Youtube | |
Structured Learning: Sequence Labeling | 2016/12/23 | Youtube | |
Structured Learning: Recurrent Neural Network | 2016/12/30 | Youtube 1 Youtube 2 | |
Ensemble | 2016/01/06 | Youtube | |
Deep Reinforcement Learning: Scratching the surface | 2016/01/06 | Youtube |