Introduction to machine learning using Galaxy
30.03.2020 - 01.04.2020,

This workshop is an introduction to machine learning using Galaxy at the beginner level. We have a theoretical introduction for each topic and also hands-on exercises.

Preliminary content (will be finally selected by the demand of participants):
- Galaxy introduction
- Machine learning basics
- Classification algorithms(logistic regression, k-nearest neighbors, support vector machines and random forest)
- Regression models (linear, nonlinear and ensemble models)
- Unsupervised learning (clustering and dimension reduction)
- Feature selection methods
- Hyper-parameter optimization

This is a de.NBI (RBC) course and will be limited to 35 participants who will be selected from all applicants.
Participants will be informed whether their application was successful.

Organizers: Freiburg Galaxy Team
More information:

To guide the selection process, please provide us with the following information:
First Name *
Family Name *
Email *
Academic degree *
I am an employee / a student of *
Who is your group leader? If you are not from Freiburg, please give additional the address of your institution! *
What is your motivation to attend our introduction to machine learning using Galaxy Workshop? Answers to this question will be used to prioritize your participation *
Which topics are you interested to be taught during the workshop? You can give more than 1 answer. *
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