User information
Please note that you are curently looking at the ongoing Academic Programs. Applications are now closed for this academic year (2020-2021) for licences, professional licences, masters, DUT and regulated health training. If you are interested for an application in 2021-2022, please click on this link for the appropriate Academic Programs.
Degrees incorporating this pedagocial element :
Description
- 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,…
Recommended prerequisite
Fundamentals of probability/statistics, linear algebra and computer science (data structures and algorithms)
Courses offered by :
In brief
Period : Semestre 9Credits : 3
Number of hours
- Lectures (CM) : 18h
Location(s) : Grenoble
Language(s) : English
Contact(s)
Program director
Eric Gaussier
Ahlame Douzal
International students
Open to exchange students