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Francqui Chair « Big Data Analytics for Business »

Session 3 - “Methodology: Feature Engineering, Predictive Modeling, Classification”

Catégorie : conférence/cours/séminaire (spécialisé)
Date : 18/04/2018 09:30 - 18/04/2018 12:30
Lieu : E13 (1er étage) - Faculté des Sc. économiques, sociales et de gestion
Orateur(s) : Prof. Dr. Dirk Van den Poel
Organisateur(s) : Prof. P. Zidda - Département des Sciences de gestion

In this methodological session, we discuss different techniques for predictive modeling. One of the most underappreciated activities in the entire modeling process (e.g., CRISP-DM) is compiling a list of predictors, also known as “Feature Engineering”. In general, investing additional efforts in collecting data to build better features is more important than looking for the best predictive model. Moreover, we discuss how to identify the most valuable features. We wrap up the session by discussing how Deep Learning might revolutionize feature engineering.

Contact : Bénédicte Coulon - +32 (0)81 724841 - secretariat.admin-gestion@unamur.be
Plus d'info : http://www.unamur.be/en/eco/francqui-vandenpoel
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