Osnabrück | Data Analysis | Running lecture |
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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. |
Type of the course |
Lecture + Practice |
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Target audience | Bachelor, Master | |
Prerequisites |
Statistics, basic mathematics and programming skills |
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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 |