 |
| Detailed information |
| Original study plan |
Master's programme Bioinformatics 2016W |
| Objectives |
Knowledge of Bioinformatics and Machine Learning
|
| Subject |
Classification, regression, kernels, sequence analysis, neuronal nets, support vector machines, hidden Markov models, clustering, principal component analysis, independent component analysis, projection methods, error models, optimization techniques, regularization, Bayes approach, hyper-parameter optimization, feature selection, statistical learning theory, etc.
|
|
