Teaching Experiments and Programming for Machine Learning
François Jacquenet
In: Teaching Machine Learning Workshop, 6-7 May 2008, Saint-Etienne.

Abstract

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.

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