Description: Further DetailsTitle: Machine Learning for Physics and AstronomyCondition: NewISBN-10: 0691206414EAN: 9780691206417ISBN: 9780691206417Publisher: Princeton University PressFormat: PaperbackRelease Date: 08/15/2023Description: A hands-on introduction to machine learning and its applications to the physical sciencesAs 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.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-learners with a basic knowledge of linear algebra and calculusSlides and assessment questions (available only to instructors)Language: EnglishCountry/Region of Manufacture: USItem Height: 254mmItem Length: 203mmAuthor: Viviana AcquavivaGenre: Science Nature & MathTopic: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Publication Name: Machine Learning for Physics and Astronomy
Title: Machine Learning for Physics and Astronomy
ISBN-10: 0691206414
EAN: 9780691206417
ISBN: 9780691206417
Release Date: 08/15/2023
Release Year: 2023
Country/Region of Manufacture: US
Book Title: Machine Learning for Physics and Astronomy
Number of Pages: 280 Pages
Language: English
Publisher: Princeton University Press
Topic: Physics / Astrophysics, Physics / Mathematical & Computational, Astronomy
Item Height: 0.7 in
Publication Year: 2023
Illustrator: Yes
Genre: Science
Item Weight: 24.1 Oz
Author: Viviana Acquaviva
Item Length: 10 in
Item Width: 8 in
Format: Trade Paperback
