Course Schedule
1st week
09/11 Course overview, Chapter 1 : Introduction
2nd week
09/18 Chapter 2 : Bayesian Decision Theory
3rd week
09/25 Chapter 2 : Bayesian Decision Theory
4th week
10/02 Chapter 2 : Bayesian Decision Theory
5th week
10/09 Chapter 2 : Bayesian Decision Theory
6th week
10/16 Chapter 2 : Bayesian Decision Theory
7th week
10/23 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
8th week
10/30 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
9th week
11/06 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
10th week
11/13 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
11th week
11/20 Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation
12th week
11/27 Deep Learning
13th week
12/04 Deep Learning
14th week
12/11 Deep Learning
15th week
12/18 Deep Learning
16th week
12/25 Deep Learning
17th week
01/01 ¤¸¥¹©ñ°²