This course offers an introduction to algorithms in data science and
network analysis. A major goal is to design and analyze graph-based
algorithms in the context of learning, recommendation, visualization,
and representation. The course provides coding exercises on real-world
cases.
- Lecturer: Michaël Defferrard
- Lecturer: Pascal Frossard
- Lecturer: Andreas Loukas
- Lecturer: Volodymyr Miz
- Lecturer: Pierre Vandergheynst
- Teacher: Nicolas Aspert
- Teacher: Eda Bayram
- Teacher: Nikolaos Karalias
- Teacher: Guillermo Ortiz Jimenez
- Teacher: Benjamin Ricaud
- Teacher: Effrosyni Simou
- Teacher: Clément Arthur Yvon Vignac
