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Course unit, curriculum year 2019–2020
MTTTA19
Modern Applied Regression Techniques 5 ECTS, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Course code
MTTTA19Language of instruction
EnglishAcademic year
2019–2020Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Nurudeen AlimiResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
This course will give a detailed overview of statistical models for modern regression and classification with emphasis on applications. A number of examples and case studies will be examined. This course will cover a range of models from linear regression through various classes of more flexible models including fully nonparametric regression models. We will consider both regression and classification problems. Methods such as splines, additive models, multivariate adaptive regression splines (MARS), neural networks, classification and regression trees (CART), linear and flexible discriminant analysis, generalized additive models, nearest- neighbor rules and learning vector quantization will be discussed.
Prerequisites
Further information
Learning material
Completion option 1
Participation in teaching
No scheduled teaching