ECTS : 4
Volume horaire : 24
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)
Compétence à acquérir :
Probabilistic, Bayesian ML and recommandation systems
Mode de contrôle des connaissances :
- Chaque étudiant devra présenter un papiers de recherche