UE Advanced algorithms for machine learning and data mining

Diplômes intégrant cet élément pédagogique :

Descriptif

  • A prior algorithms (Frequent item sets) & Page Rank
  • Monte-carlo, MCMC methods: Metropolis-Hastings and Gibbs Sampling
  • Matrix Factorization (Stochastic Gradient Descent, SVD)
  • Generalized kmeans and its variants (Bach, Online, large scale), Kernel clustering (Support Vector Clustering), Spectral clustering
  • Classification and Regression Trees, Support Vector regression
  • Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…

Informations complémentaires

Méthode d'enseignement : En présence
Langue(s) : Anglais