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Instructors: Dr. Kilian Seng
Event type:
Seminar
Org-unit: Politics, Administration & International Relations
Displayed in timetable as:
Computational Politi
Hours per week:
3
Credits:
6,0
Location:
Campus der Zeppelin Universität
Language of instruction:
Englisch
Min. | Max. participants:
5 | 24
Priority scheme: Standard-Priorisierung
Course content:
The course provides an introduction to the statistical software R. New methods from the field of machine learning will be applied to political science research questions. Possible applications are text analysis, classification and prediction of data.
Educational objective:
Goal of this course is to provide an overview over machine learning procedures and to understand their functionality, for instance ensemble, error-based, information-based, probability-based, rule-based, and similarity-based algorithms.
Further information about the exams:
Empirical research paper with R
Mandatory literature:
Lantz, Brett (2019): Machine Learning with R. Brigmingham: Packt. 3rd ed.
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