Machine Learning for Physics and Astronomy
$127.10
- Paperback
280 pages
- Release Date
30 November 2023
Summary
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 analyse this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimising, and deploying machine learning me…
Book Details
| ISBN-13: | 9780691206417 |
|---|---|
| ISBN-10: | 0691206414 |
| Author: | Viviana Acquaviva |
| Publisher: | Princeton University Press |
| Imprint: | Princeton University Press |
| Format: | Paperback |
| Number of Pages: | 280 |
| Release Date: | 30 November 2023 |
| Weight: | 658g |
| Dimensions: | 203mm x 254mm |
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Critics Review
“Winner of the Chambliss Astronomical Writing Award, American Astronomical Society”
Viviana Acquaviva
Viviana Acquaviva is professor of physics at the New York City College of Technology and the Graduate Center, City University of New York. She is the recipient of a PIVOT fellowship to apply AI tools to problems in climate. Acquaviva was named one of Italy’s fifty most inspiring women in technology by InspiringFifty, which recognises women in STEM who serve as role models for girls around the world.
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