23 Feb

13h30 to 17h - Fréderic Schutz (SIB and UniL)

In this session, we will cover the basics to understand how to work with classification/machine learning methods. In general, we will be talking about supervised vs unsupervised methods, learning sets vs testing sets, overfitting, false positive and other measures, ROC curves, etc.