NTHU EE6550 Machine Learning

Course Coverage

• Probability Distributions
• Linear Models for Regression
• Linear Models for Classification
• Neural Networks
• Kernel Methods
• Sparse Kernel Machine
• Graphical Models
• Mixture Models & EM
• Sampling Methods

Homework

	Title	Dataset
HW1	Maximum A Posteriori (MAP)	wine
HW2	Maximum Likelihood and Bayesian Linear Regression	graduate admissions
HW3	Neural Network from Scratch	fruit

Final Project

Behavior Classification of Exposition Visitors (Link)