Advanced Algorithms for Machine Learning and Data Mining Université Grenoble Alpes
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,…Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…
Fundamentals of probability/statistics, linear algebra and computer science (data structures and algorithms)
Online Course Requirement
Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.
Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: email@example.com