Advanced Algorithms for Machine Learning and Data Mining

Credits

3 ECTS - 18h

Instructors

Eric Gaussier and Ahlame Douzal

Syllabus

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,…

Assessment

Final exam