| Crédit : 4 ECTS |
| Langue du cours : anglais
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Volume horaire
- CM :
24 h
- Volume horaire global (hors stage) :
24 h
Compétences à acquérir
Probabilistic, Bayesian ML and recommandation systems
Description du contenu de l'enseignement
This research-oriented module will focus on advanced machine learning algorithms, in particular in the Bayesian setting 1) Bayesian Machine Learning (with Moez Draief, chief data scientist CapGemini) - Bayesian linear regression - Gaussian Processes (i.e. kernelized Bayesian linear regression) - Approximate Bayesian Inference - Latent Dirichlet Allocation 2) Bayesian Deep Learning (with Julyan Arbel, CR INRIA) - MCMC methods - variationnal methods 3) Advanced Recommandation Techniques (with Clement Calauzene, Criteo)
Mode de contrôle des connaissances
- Chaque étudiant devra présenter un papiers de recherche
Enseignant responsable
YANN CHEVALEYRE