Une machine à vecteurs de support ou séparateur à vaste marge (SVM
72
) est un modèle
d’apprentissage automatique à la fois puissant et polyvalent, capable d’effectuer des
classications linéaires ou non linéaires, des régressions et même des détections de
données aberrantes. C’est un des modèles les plus prisés en matière d’apprentissage
automatique, et tous ceux qui s’intéressent au Machine Learning devraient en avoir
dans leur boîte à outils. Ils sont particulièrement bien adaptés à la classication de
jeux de données complexes, de taille réduite ou moyenne.
Ce chapitre va vous expliquer les concepts clés des SVM, ...
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