Please feel free to contact me:
Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the data observed. This course introduces the basics of learning theories, the design and analysis of learning algorithms, and some applications of machine learning.
| date | syllabus | todo/done | suggested reading |
| 9/9 | course introduction | ||
| 9/12 | the learning problem |
| |
| 9/16 | learning to answer yes/no |
|
|
| 9/19 | no class because of mid-autumn festival | ||
| 9/23 | types of learning |
|
|
| 9/26 | feasibility of learning | homework 1 announced |
|
| 9/30 | training versus testing |
|
|
| 10/3 | theory of generalization |
|
|
| 10/7 | the VC dimension |
|
|
| 10/10 | no class because of double-ten festival | homework 2 announced | |
| 10/14 | noise and error | homework 1 due |
|
| 10/17 | linear regression |
|
|
| 10/21 | logistic regression |
|
|
| 10/24 | linear models for classification |
|
|
| 10/28 | nonlinear transformation | homework 2 due; homework 3 announced |
|
| 10/31 | hazard of overfitting |
|
|
| 11/4 | regularization |
|
|
| 11/7 | validation |
|
|
| 11/11 | three learning principles (instructor not in class because of ACML) | homework 4 announced |
|
| 11/14 | no class because of ACML | ||
| 11/18 | linear support vector machine | homework 3 due |
|
| 11/21 | dual support vector machine | ||
| 11/25 | kernel support vector machine | ||
| 11/28 | soft-margin support vector machine | homework 4 due; final project announced | |
| 12/2 | kernel models for logistic regression | ||
| 12/5 | kernel models for regression | homework 5 announced | |
| 12/9 | aggregation models: blending and bagging | ||
| 12/12 | aggregation models: adaptive boosting | ||
| 12/16 | aggregation models: decision tree | ||
| 12/19 | aggregation models: random forest | homework 5 due; homework 6 announced | |
| 12/23 | feature extraction models: neural network | ||
| 12/26 | feature extraction models: deep learning | ||
| 12/30 | feature extraction models: RBF network | ||
| 1/2 | misc models | ||
| 1/6 | homework 6 due; final project award ceremony | ||
| 1/9 | no class and good luck with your other finals | ||
| 1/3 | no class because winter vacation started (really? :-) ) | ||
| 1/16 | final project report due |
|
Last updated at CST 13:07, October 04, 2023 Please feel free to contact me:
|
|