Machine Leaing for Physics and Astronomy

by: Viviana Acquaviva (Author)

Publisher: Princeton University Press

Publication Date: 15 Aug. 2023

Language: English

Print Length: 280 pages

ISBN-10: 069120392X

ISBN-13: 9780691203928

Book Description

A hands-on introduction to machine leaing and its applications to the physical sciencesAs the size and complexity of data continue to grow exponentially across the physical sciences, machine leaing 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 leaing 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 leaing, Machine Leaing 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.Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given taskEach chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key conceptsIncludes a wealth of review questions and quizzesIdeal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematicsAccessible to self-leaers with a basic knowledge of linear algebra and calculusSlides and assessment questions (available only to instructors)
About the Author

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