Teaching
- 2019-2020
- Modelling and Optimization in Machine Learning: Exercises classes and labworks (Polytech Nice MAM4/EIT Digital)
- Tensor Decompositions (3 classes - M2 Data Science) Moodle's link
- Signals and Systems: Classes, exercises classes and labworks (Polytech Nice PeiP2) Moodle's link
- Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4) Moodle's link
- Introduction to Machine Learning: Classes and labworks (first 3 classes - EUR DS4H) Moodle's link
- Projects (Polytech Nice MAM4)
Proposed subjects: Decompositions of a Small Tensor
- 2018-2019
- Big Data Technologies: Labworks (M1/M2 EIT Digital)
- Signals and Systems: Classes, exercises classes and labworks (Polytech Nice PeiP2)
- Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)
- Introduction to Machine Learning: Classes and labworks (first 3 classes - EUR DS4H)
- Projects (Polytech Nice MAM4)
- 2017-2018
- Big Data Technologies: Labworks (M2 EIT Digital)
- Large-scale Distributed Computing Systems: Labworks (M1/M2 EIT Digital)
- Signals and Systems: Exercises classes and labworks (Polytech Nice PeiP2)
- Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)
- Projects (Polytech Nice MAM4)
Proposed subjects: Movie recommandation with matrices and tensors (in French)
Development of a python module for tensor decompositions (in French)
Concepts visualization with google similarity metric (in French)
Development of a python module for tensor decompositions (in French)
Concepts visualization with google similarity metric (in French)
- Final year project (M2 EIT Digital):
- 2016-2017
- Machine Learning for Big Data: Classes and exercises classes (Polytech Nice SI4)
- Augmented Reality: Classes and exercises classes (Polytech Nice MAM4)
- Data processing and statistics: Exercises classes (Polytech Nice SI3)
- 2011-2013 (during PhD)
- Mathematics: Exercises classes (ENSE3 1st year)
- Digital transmission systems: Labworks (M2 CSE ENSIMAG)