[ 951STMOSTLK14 ] KV Statistical Learning
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| Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Statistics and Data Science 2024W vorhanden. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 4 ECTS |
M1 - Master's programme 1. year |
Statistics |
Helga Wagner |
2 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Statistics 2015W |
| Objectives |
Students are familiar with methods for supervised and unsupervised learning
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| Subject |
classification methods
discriminant analysis
regression trees
boosting
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| Criteria for evaluation |
Exam
Project
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| Methods |
Lecture
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| Language |
English |
| Study material |
Hastie T., Tibshirani R. and Friedman J. (2009). The elements of statistical learning.
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| Changing subject? |
No |
| Corresponding lecture |
in collaboration with 951STMOARAK14: KV Advanced Regression Analysis (4 ECTS) equivalent to
4MSMV2KV: KV Multivariate Verfahren II (8 ECTS)
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| On-site course |
| Maximum number of participants |
40 |
| Assignment procedure |
Assignment according to priority |
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