LargeScale Machine Learning & Data Mining
Nombre de places: 60 - Langue: Français et anglais
ObjectifsMachine learning is a fastgrowing field at the interface of mathematics, computer science and engineering, which provides computers with the ability to learn without being explicitly programmed, in order to make predictions or take rational actions. From cancer research to finance, natural language processing, marketing or selfdriving cars, many fields are nowadays impacted by recent progress in machine learning algorithms that benefit from the ability to collect huge amounts of data and “learn” from them. The goal of this intensive 5day course is to present the theoretical foundations and practical algorithms to implement and solve largescale machine learning and data mining problems, and to expose the students to current applications and challenges of “big data” in science and industry. EvaluationNon renseignéRendu des travaux pratiques + examen sur table ProgrammeThe week is organized around two types of activities: Pré-requisNumerical programming in Python + basics of Machine-Learning (roughly equivalent to content of the "Apprentissage artificiel" course for MINES ParisTech students). Machine learning basics; numerical python. Equipe enseignanteChloé-Agathe AZENCOTT, MINES ParisTech (Centre de Bio-Informatique) |