Introduction to Machine Learning with R and Rstudio

Machine learning is a collection of techniques to classify large amounts of data and uncover hidden patterns in data. This course will focus on traditional machine learning techniques and newer techniques.

Course leader

Maurice Vergeer, Assistant professor
Communication Science
Radboud University

Target group

- Advanced Bachelor
- Master
- PhD
- Post-doc
- Professional

This course is intended for students and early career academics who already have experience with statistics in social sciences who want to extent their knowledge of machine learning techniques, specifically advanced bachelor students, master students, PhD candidates, post-docs, early career academics. It is especially suitable for people that have to analyse large quantities of data.

Course aim

After this course you will be able to:

- Decide which application of machine learning is best for a given research problem.
- Understand the limitations of different approaches to machine learning.
- Perform machine learning on a given data set.

Fee info

EUR 500: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 450 early bird discount- deadline 1 April 2022 (10%)
€ 425 partner + RU discount (15%)
€ 375 early bird + partner + RU discount (25%)