Machine Learning for Physics and Astronomy
Machine Learning for Physics and Astronomy
Machine Learning for Physics and Astronomy
Paperback
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Sign in or Sign up!- Release Date: 15/08/2023
- Barcode: 9780691206417
- Genre: Science Nature & Math
- Sub-Genre: Astronomy Space & Time
- Imprint: Princeton University Press
- Publisher: Princeton University Press

Machine Learning for Physics and Astronomy
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DESCRIPTION
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 beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider.
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