INSA Rouen Normandy 2019-2021
- Introduction to machine learning with Gilles Gasso:
- Clustering
- Regression
- Classification
- Dimension reduction
- Statistics with Bruno Portier:
- Times series,
- Linear regression (simple and multiple)
- ANOVA1 and ANOVA2
- Inferential statistics with Bruno Portier:
- Point estimation
- Interval of confidence
- Hypothesis testing
- Matrix computation Gilles Gasso and Benoit Gaüzère
- Matrix Factorizations : LU, LDL and Cholesky factorization, QR factorization
- Solving linear system
- Review of Least squares problem
- Application of matrix factorizations
- Iterative methods (Jacobi, Gauss-Seidel, relaxation)
- Algorithms for Eigenvalues and Singular values computation
- Introduction to inferential statistics with Alexandrina Rogozan: Practical work with Python on inferential statistics (TP1, TP2, TP3, TP4, TP5, TP6 )
- Updating in Maths with Benoit Gaüzère: Linear algebra, real analysis and complex numbers.
Université virtuel du Senegal Feb. 2021 (UVS):
Project in machine learning with Pyhton (24Hours): It consist on the implementation of the following approach : Multipe linaire regression, Ridge, variable selection, Lasso, Elastic-net. The objectif is to use theses methods (with python) in order to predict the price of an appartement. [TP] [data set]