PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Spring school in machine learning: teaching experiences
Cécile Capponi, François Denis, Rémi Eyraud, Amaury Habrard and Liva Ralaivola
In: Teaching Machine Learning Workshop, 2008, 6-7 May 2008, Saint-Etienne, France.


The machine learning team of the "Laboratoire d'Informatique Fondamentale de Marseille" (ML-LIF) is a Joint Research Unit of the Université de Provence and the CNRS. All of the 5 professors/assistant professors of the team are involved in the organisation of a spring school in machine learning that will be held at the end of next May (2008). The particularity of this school, compared to the machine learning summer schools usually supported by PASCAL, is that it is targeted to an attendance made of people coming from various scientific fields such as mere statistical inference, bioinformatics, machine vision. This short note summarizes some of the salient aspects regarding this school; it particularly stresses the diffusion of machine learning over a wide range of research areas. A second item that is covered by this note deals with the teaching experience of the machine learning team members. It brings some clues as to how undergraduate and graduate students positively perceive machine learning and may fail to sustain their interest when the theoretical aspects of the field are tackled.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:4697
Deposited By:Amaury Habrard
Deposited On:24 March 2009