Learning Management Systems White Papers
Teaching Experiments and Programming for Machine Learning
Overview This paper aims to be a complement to Colin de la Higuera's paper about teaching theoretical computer science for machine learning. In this paper it is claimed 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.
| Publisher | Universite Jean Monnet Saint-Etienne | File Format | |
|---|---|---|---|
| Date Published | April 2008 | ||
| Format | White Papers | ||
| Topics | |||
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