Machine Learning for Physics and Astronomy - Paperback
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Machine Learning for Physics and Astronomy
A hands-on introduction to machine learning and its applications to the physical sciences
As the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and...
Viviana Acquaviva is professor of physics at the New York City College of Technology and the Graduate Center, City University of New York, and the recipient of a PIVOT fellowship to apply AI tools to problems in climate. She was named one of Italy's fifty most inspiring women in technology by InspiringFifty, which recognizes women in STEM who serve as role models for girls around the world.
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