This course goes beyond the phase of gathering large amounts of data by focusing on how machine learning algorithms can be rewritten and scaled up to work on petabytes of data, at the same time. both structured and unstructured, to generate sophisticated models used to make predictions.

Temps présentiel : 25 heures

Charge de travail étudiant : 50 heures

Méthode(s) d'évaluation : Examen final, Projets