Teaching

École Nationale Supérieure des Mines de Nancy

• Data Analysis with R
  September - November 2023

Course directors: Sandie Ferrigno and Yannick Toussaint
Teaching assistant for practical sessions. This course is part of the Master 1 common core. Notions of inferential statistics, linear regression, principal components analysis, simple and multiple correspondance analysis, agglomerative hierarchical clustering, discriminative models, association rules.

• Introduction to Machine Learning
  November 2023 - January 2024

Course director: Frédéric Sur
Teaching assistant for practical sessions. This course is part of the Master 1 common core. Key principles of machine learning. Linear, ridge and lasso regression, $k$ nearest neighbours, $k$ means algorithm, introduction to basic neural networks architecture.

• Introduction to Deep Learning
  February - April 2024

Course directors: Parisa Rastin and Guénaël Cabanes
Teaching assistant for practical sessions. Master 1 level class from Industrial Engineering and Applied Mathematics course track. Introduction to neural network implementation using Keras. MLP classifiers, CNN, RNN, LSTM and Transformers.