Machine learning methods

The aim of this course is to help computational biologists with complex data analysis problems. After discussing the theoretical foundations, the course will provide practical advice on how to use selected machine learning methodogies with R.

Topics

Out of scope

Participants are encouraged to bring use cases from their own work. However, please note that individual data analysis needs cannot be discussed in depth.

Prerequisites

This is an advanced course. Solid statistical foundations and a working knowledge of R is required. Please bring your own laptop with a working R installation.

Practical information

Number of participants: minimum 6, maximum 10.

Length: The course takes two half-days, from 09:00 to 12:30.