(En Français ici.) In the university year 2018-2019, I am teaching:
Advanced Classification
2nd year Master of Science (MSc) in Signal and Image Processing. A course mainly on deep learning methods for computer vision.
Artificial Intelligence : from Machine Learning to Data Science
Doctoral course (PhD). All support are here (English).
Data Science
1st year Master of Science (MSc) in Signal and Image Processing. A course that covers all aspects of data science: preparation and visualisation of data (PCA, mastering of pandas, etc), machines learning main algorithms via scikit-learn (linear and logistic regression, Decision trees, random forest, adaboost, SVM, k-means, hierarchical clustering), analysis of results (metrics like accuracy, F-score, ROC, etc; mastering of matplotlib; etc).
Introduction to Data Science
1st year Master of Science (MSc) in Computer Science. How to deal with data? How to prepare them? How to use them in a machine learning algorithm? How to visualize and analyse the result? These are the main motivation of that course, where we deal with feature selection, regression (linear, logistic), classification (k-nn, random forest, etc.), clustering (k-means, hierarchical), evaluation metrics, …
Introduction to Machine Learning
Last year Licence in Computer Science andin Math for Social Science. A course to discover Machine Learning. Some background and many experimentations!
Data Basis
2nd year Licence in Math Physic Chimie and Computer Science (excellence curriculum). From relational algebra to SQL, including MERISE schemes for conception and python interface.