TU Wien:Machine Learning VU (Musliu)/Prüfung 2017-03-17

Disclaimer: Most questions below did have additional sub-questions which I cannot remember.

1. Random Forests. What makes a RM random?
2. Something about Feature Selection. Name methods of Feature Selection
3. What is Deep Learning? How does it compare to "traditional" Machine Learning?
4. What is HMM? What are the three problems of HMM?
5. Bayesian Network -> Explain a) Inference b) Variable Elimination c) d-separation
6. ?
7. Given a Dataset with 7 entries:
   • Using knn(1), calculate the prediction accuracy using the first 6 entries and 2-fold.
   • Build a Decision Tree with your own separation criteria