| Osnabrück | Data Analysis | Running lecture |
|---|---|---|
Machine Learning IThe course gives an introduction to unsupervised and supervised techniques of machine learning and data mining: Decision trees, clustering, dimension reduction, classification and artificial neural networks. |
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| Type of the course |
Lecture + Practice |
|
|---|---|---|
| Target audience | Bachelor, Master | |
| Prerequisites |
Statistics, basic mathematics and programming skills |
|
| Institution(s) |
Institute of Cognitive Science, |
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| Lecturer(s) | Heidemann et al. | |
| Time / ETCS | weekly, 2h+2h+2h per week / 8 + 4 ECTS | |
| Weblink | Visit the course website | |