This workshop will introduce a range of machine learning techniques and provide an overview of the learning resources available to social science researchers who are interested in developing the skills needed to apply these methods to a range of substantive research questions.
The topics that Dr Iulia Cioroianu will cover in the session are:
Introduction: What is machine learning?
Supervised learning
- Classification
- Evaluating and selecting models
Unsupervised learning
- Clustering
- Topic Models
- Scaling
Overview of available learning resources and tools
Speaker profiles
Dr Iulia Cioroianu is a Prize Fellow in the Institute for Policy Research (IPR) at the University of Bath.
She holds a PhD in Political Science from New York University and was an associate lecturer and researcher in the Q-Step Centre for quantitative social sciences at the University of Exeter before joining the IPR.
Iulia is a social data scientist who studies the effects of social media and online information exposure on political competition and polarisation using natural language processing and quantitative text analysis, machine learning and survey experiments.
Who should attend
This workshop is only for Department of Politics, Languages & International Studies staff and postgraduate research students.
Accessibility
This venue has disabled ramp access.