| Lehrinhalte |
(*)Knowledge of, understanding in, and approaches to following topics:
Machine Learning: Supervised Techniques Classification, regression, kernels, sequence analysis, neuronal nets, support vector machines, regularization, Bayes approach, hyper-parameter optimization, feature selection,generalization error, model selection
|
