機器學習與生醫應用

週次計畫

週次	主題
第 1 週	Introduction to Machine Learning, Probability Review. 2020/09/14
第 2 週	Linear Modelling: A Least Squares Approach 2020/09/21
第 3 週	Linear Modelling: A Maximum Likelihood Approach 2020/09/28
第 4 週	The Bayesian Approach to Machine Learning 2020/10/05
第 5 週	Bayesian Inference 2020/10/12
第 6 週	Probabilistic classifiers 2020/10/19
第 7 週	Gradient Descent optimization and Newton-Raphson method 2020/10/26
第 8 週	Non-probabilistic classifiers 2020/11/02
第 9 週	Project proposal 2020/11/09
第 10 週	Clustering 2020/11/16
第 11 週	Principal Components Analysis and Latent Variable Models 2020/11/23
第 12 週	Probabilistic Principal Components Analysis 2020/11/30
第 13 週	Gaussian Processes Regression 2020/12/07
第 14 週	Gaussian Processes Classification 2020/12/14
第 15 週	Gibbs Sampling 2020/12/21
第 16 週	Gibbs Sampling for Gaussian Classification 2020/12/28
第 17 週	Term project report 2021/01/04
第 18 週	Review of Machine Learning 2021/01/11