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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
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
Additional information
| Book Format | Hardcover, Softcover |
|---|
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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