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.