{pdf download} Machine Learning for Physics and Astronomy by Viviana Acquaviva
Machine Learning for Physics and Astronomy. Viviana Acquaviva
Machine-Learning-for.pdf
ISBN: 9780691206417 | 280 pages | 7 Mb
- Machine Learning for Physics and Astronomy
- Viviana Acquaviva
- Page: 280
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780691206417
- Publisher: Princeton University Press
Download ebooks for free in pdf Machine Learning for Physics and Astronomy PDB RTF by Viviana Acquaviva
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. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given task Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts Includes a wealth of review questions and quizzes Ideal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematics Accessible to self-learners with a basic knowledge of linear algebra and calculus Slides and assessment questions (available only to instructors)
PHYS359 - Machine Learning
Machine Learning and Cosmology
Machine Learning for Physics and Astronomy
Introduction to astroML: Machine Learning for Astrophysics
Machine Learning Accelerates Cosmological Simulations
Machine Learning | Department of Physics
Data Mining and Machine Learning in Astronomy
Machine Learning for Physics and Astronomy
PHYS 127: Machine Learning and Statistics for Physics
Machine Learning in Astronomy: a practical overview
Machine learning in astronomy
International Conference on Machine Learning for Astrophysics
Machine Learning x Cosmology | Department of Physics
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