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Data Analysis
Introduction to exploratory Data Analysis. Applications in Python using scikit-learn
Deep Learning
Introduction to Deep Learning. Concepts and main networks. Use cases in classification, regression, transfert learning, dimension reduction, data generation.
Linear algebra
Numerical analysis: a linear algebra perspective. How to solve linear systems with applications to least squares and eigen analysis.
Machine Learning
Introduction to supervised and unsupervised machine learning algorithms. Applications in Python using scikit-learn
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Past lectures
Image processing
Image Processing: methods and applications in C++ using CImg library
Stochastic differential equations
Introduction to stochastic differential equations
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