Curated paths through mathematics, from high school to a master level, including a track tuned for AI. Each track assembles reusable courses, many of which are still to come.
The mathematical backbone of machine learning, from vectors to optimization.
For Developers and self-taught learners aiming for machine learning who want solid mathematical foundations, from high school to graduate level.
The complete journey, from high school calculus to graduate analysis.
For Anyone learning or relearning mathematics: from beginners consolidating high school level to researchers and engineers seeking advanced tools, notably for artificial intelligence.
From the observed sky to the understood Universe, from constellations to black holes.
For Sky enthusiasts and self-taught learners. The first stages are accessible from high school; from the bachelor stage onward, general physics (mechanics, thermodynamics, electromagnetism, quantum physics) is assumed — roughly two to three years of undergraduate physics.