Statistical Learning in High Dimensions


C. Bouveyron ,

P. A. Mattei,

Content and organization

Statistical analysis of high-dimensional data for classification, clustering, regression, and collaborative filtering, the study of sparse methods (lasso, elastic net, sparse Bayesian methods), probabilistic PCA (and mixtures thereof), nuclear norm penalisation. Labs in R and Python.

Course Type

AI PhD Curriculum

Host Institution
Université Côte d'Azur

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