Miles Cranmer builds machine learning tools that help scientists discover interpretable equations and models from data. An assistant professor at the University of Cambridge, he leads a group studying automated scientific discovery across physics, astronomy and AI.

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Miles Cranmer builds machine learning tools that help scientists discover interpretable equations and models from data. An assistant professor at the University of Cambridge, he leads a group studying automated scientific discovery across physics, astronomy and AI.

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Assistant Professor of Data Intensive Science, DAMTP and Institute of Astronomy at University of Cambridge until Present
arxiv.org

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Miles describes PySR’s symbolic regression algorithm and software for discovering interpretable equations from scientific data.

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