1. Quel algorithme d’entraînement de régression linéaire pouvez-vous
utiliser si vous avez un jeu d’entraînement comportant des millions
de variables?
2. Supposons que les variables de votre jeu d’entraînement aient des
échelles très différentes. Quels algorithmes peuvent en être affectés,
et comment? Comment pouvez-vous y remédier?
3. Une descente de gradient peut-elle se bloquer sur un minimum local
lorsque vous entraînez un modèle de régression logistique?
4. Tous les algorithmes de descente de gradient aboutissent-ils au même
modèle si vous les laissez s’exécuter sufsamment longtemps? ...
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