
, United Kingdom
A Taste of Arts and Humanities
When:
15 July - 25 July 2025
Credits:
0.0 EC
Read more
Communication, Media and Journalism & Psychology
When:
30 June - 04 July 2025
School:
Institution:
Radboud University
City:
Country:
Language:
English
Credits:
2 EC
Fee:
888 EUR
This course explores Machine Learning (ML) and Artificial Intelligence (AI) for social sciences, starting with a refresher on R and RStudio. You’ll learn supervised and unsupervised techniques, including classification, regression, clustering, and dimension reduction methods. The course also covers ML applications for unstructured data, such as image analysis with neural networks and text classification with LDA and BERT. Through theory and hands-on practice, you’ll gain the skills to apply ML in social science research.
Dr M.R.M. Maurice Vergeer
Bachelor, Advanced Bachelor, Master, PHD, Postdoc, Professional.
Admission requirements
Participants should have a basic level of understanding statistics and R and Rstudio.
Learning objectives
1. Identify and evaluate suitable Machine Learning (ML) techniques for various research problems in social science.
2. Apply a range of ML techniques, including classification, regression, clustering, and dimension reduction, to structured and unstructured datasets.
3. Develop hands-on experience in implementing ML methods using R and RStudio.
4. Understand the distinctions between supervised and unsupervised learning approaches and their applications.
5. Analyze and interpret the results of ML models to draw meaningful conclusions for research purposes.
Fee
888 EUR, 15% when applying before 1 April 2025
When:
30 June - 04 July 2025
School:
Institution:
Radboud University
Language:
English
Credits:
2 EC
, United Kingdom
When:
15 July - 25 July 2025
Credits:
0.0 EC
Read more
Nijmegen, Netherlands
When:
30 June - 04 July 2025
Credits:
2 EC
Read more
Barcelona, Spain
When:
30 June - 25 July 2025
Credits:
6 EC
Read more