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Computer Sciences

Introduction to Machine Learning with R and Rstudio

When:

11 July - 15 July 2022

School:

Radboud Summer School

Institution:

Radboud University

City:

Nijmegen

Country:

Netherlands

Language:

English

Credits:

2.0 EC

Fee:

500 EUR

Interested?
Please note: this course has already ended
Introduction to Machine Learning with R and Rstudio

About

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

Fee

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

Interested?

When:

11 July - 15 July 2022

School:

Radboud Summer School

Institution:

Radboud University

Language:

English

Credits:

2.0 EC

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