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Physics-Informed Machine Learning
Steve Brunton (University of Washington) · 15 videos
How to build machine learning models that respect the laws of physics: adding conservation laws, symmetries and known equations to neural networks so they work with less data and generalise better. A strong bridge between classical mechanics and modern ML.
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