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Instructors: Dr. Kilian Seng
Event type:
Seminar / exercise
Org-unit: Politics, Administration & International Relations
Displayed in timetable as:
Advanced Methods | Y
Hours per week:
3
Credits:
3,0
Location:
Campus der Zeppelin Universität
Language of instruction:
Englisch
Min. | Max. participants:
10 | 24
Priority scheme: Standard-Priorisierung
Course content:
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. Possible applications are classifications and predictions. The results will be compared to the results of parametric models like regressions.
Required is basic knowledge in R: read in data, generate variables, conduct descriptive analyses, tests and regression models and to be able to interpret them.
Further information about the exams:
research paper with R
Mandatory literature:
Lantz, Brett (2019): Machine Learning with R. Brigmingham: Packt. 3rd ed.
Wenn Sie E-Learning Funktionalitäten nutzen möchten, tragen Sie bitte "Ja" ein.:
Ja
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