The school is organized into theoretical mini-classes<\/strong>, provided by lecturers, and practical sessions<\/strong> supervised by lecturers or local researchers. <\/p>\n\n\n\n It is particularly aimed at people with a scientific computing or applied mathematics background, who want to discover or deepen their knowledge of machine learning. No prerequisites in machine learning are necessary for the theoretical courses. However, a basic knowledge of the Python language is necessary for the practical sessions. The expected audience ranges from master’s students, doctoral students, and postdocs to engineers and researchers.<\/p>\n\n\n\n Detailed program can be found here<\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n This event is free of charge<\/strong> but registration is mandatory. Presence is expected for all courses of the school. Registration includes coffee breaks and lunch. Registration can be done here<\/a>.<\/p>\n\n\n\n![\"\"](\"https:\/\/project.inria.fr\/mlsim2026\/files\/2026\/03\/affiche_ecole_MLSIM.jpg\")
<\/a><\/figure>\n<\/div>\n\n\n\nLectures<\/h2>\n\n\n\n
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Registration<\/h2>\n\n\n\n
Please note that the number of places for this event is limited. Registration will be done on a first come \u2013 first served basis.<\/p>\n\n\n\n