| Kommentar |
The students learn to understand foundations and applications that underpin supervised and unsupervised learning models, as well as the related computation and inference approaches. Topics: regularization, tree-based methods, kernel methods, model-based clustering, dimension reduction, sampling methods, variational inference, and an introduction to neural networks.
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| Bemerkung |
StO/PO MA 2016: 6 LP, Modul: "Statistical and Machine Learning"
StO/PO MEMS 2016: 6 LP, Modul: "Statistical and Machine Learning", Major: Quantitative Methods |
