Un paramètre important des systèmes d’apprentissage en ligne est le rythme auquel
ils doivent s’adapter à l’évolution des données : C’est ce qu’on appelle le taux d’appren-
tissage (en anglais, learning rate). Si vous choisissez un taux d’apprentissage élevé, votre
système s’adaptera rapidement aux nouvelles données, mais il aura tendance à oublier
tout aussi rapidement les anciennes (mais vous ne souhaitez pas qu’un ltre anti-spam
ne repère que les tout derniers modèles de spam qu’on lui a montrés). Inversement, si le
taux d’apprentissage ...
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