Advanced Machine Learning

The course covers some advanced models in machine learning. 
The models are analyzed mainly from a Bayesian perspective. 
The course is also a master's course on the LiU programme 'Statistics and Machine Learning'.

The course is organized into four topics:
Graphical Models
Hidden Markov Models
Gaussian Process Regression and Classification
State-space models

Each topic includes lectures, a computer lab and a follow-up seminar.

Course web page

Course Data
University: 
Linköping
Type of schedule: 
Regular schedule
Level: 
Master
PhD
Credits (ECTS): 
6.00
Offered: 
2017:2