Cours Année : 2025

Machine Learning for Scientific Computing and Numerical Analysis

Résumé

These notes are for third-year students at École Polytechnique (Palaiseau, France), who have completed two years of classes préparatoires, making the material equivalent to a graduate-level course in the UK or US. The development of a Scientific Machine Learning (SciML) course for third-year students bridges the gap between scientific computing and machine learning. SciML, an emerging field, enables efficient methods for solving complex problems in science and engineering, like partial differential equations (PDEs). This course offers a new, valuable specialization, helping students stand out in the evolving job market, where demand for ML experts with specialized skills is growing.

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Dates et versions

hal-04976856 , version 1 (04-03-2025)
hal-04976856 , version 2 (07-05-2026)

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  • HAL Id : hal-04976856 , version 1

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Hadrien Montanelli. Machine Learning for Scientific Computing and Numerical Analysis. Master. France. 2025. ⟨hal-04976856v1⟩
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