Machine Learning Exam Questions
- How would you use a line to categorise data?
- How would you perform a n-fold cross validation?
- What happens when you present data to a self organising map.
- What is a Perceptron?
- How do Multi-Layer Perceptrons work?
- What is the basic idea of a Support Vector Machine?
- What is the Kernel trick? (This relates to search spaces.)
- How do you represent a particular problem (e.g. tic-tac-toe) with
a gene?
- How are new genes created in a genetic algorithm?
- What are the key problems when handling very large data sets?
- What is the basic idea behind deep networks?
- Why is no machine learning algorithm best for all data sets?
