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The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning

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The first monograph applying machine learning to problems of geometry Provides a data-driven introduction to computational algebraic geometry Delivers a quick introduction to modern data science, with code in popular software (Python, SageMath and Mathematica) Includes background in geometry, algebra, and theoretical physics

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The first monograph applying machine learning to problems of geometry Provides a data-driven introduction to computational algebraic geometry Delivers a quick introduction to modern data science, with code in popular software (Python, SageMath and Mathematica) Includes background in geometry, algebra, and theoretical physics

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Book Format

Hardcover, Softcover

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Book information

Edition
1st Edition
ISBN [Softcover]
9783030775612
Publisher
Springer
Year
2021
Pages
XVII, 206 p.
Series Title
Lecture Notes in Mathematics
Language
English
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