Teaching Experiments and Programming for Machine Learning
In: Teaching Machine Learning Workshop, 6-7 May 2008, Saint-Etienne.
This paper aims to be a complement to Colin de la Higuera's paper about teaching theoretical computer science for machine learning. We claim that, in the same way it is important that students get a strong theoretical
background, they also need strong practical courses in order to be able to design realistic prototypes validating theoretical studies.