Course details, topics, grades download

Lecture time: every Tuesday from 11:00~1:00 pm,

Place: 1206, office hours: Tuesday 1:00 ~2:00 & Wednesday 1:00~2:00.

Planned Lectures:

1Machine Learning, Statistics, and Data Analytics 
2Bayesian Decision Theory 
3Dimensionality Reduction 
5Decision Trees 
6Kernel Machines 
7Midterm Exam
8Hidden Markov Models 
9Combining Multiple Learners 
10Reinforcement Learning 
11Design and Analysis of Machine Learning Experiments 
12Combining Multiple Learners, Ensemble Machine Learning methods. 
13MLOps principles in Machine learning projects. 
14Revision and project discussions 

Lab plan: to be announced