Course Schedule
1st week
09/10 Course overview, Chapter 1 : Introduction
2nd week
09/17 中秋節
3rd week
09/24 Chapter 2 : Bayesian Decision Theory
4th week
10/01 Chapter 2 : Bayesian Decision Theory
5th week
10/08 Chapter 2 : Bayesian Decision Theory
6th week
10/15 Chapter 2 : Bayesian Decision Theory
7th week
10/22 Chapter 2 : Bayesian Decision Theory
8th week
10/29 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/05 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/12 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/19 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
12th week
11/26 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
13th week
12/03 Chapter 6 : Multilayer Neural Networks
14th week
12/10 Chapter 6 : Multilayer Neural Networks
15th week
12/17 Chapter 6 : Multilayer Neural Networks
16th week
12/24 Chapter 6 : Multilayer Neural Networks