{"product_id":"9783030775612","title":"Lecture Notes in Mathematics: From Geometry, to Physics, to Machine Learning","description":"\u003ch1\u003eLecture Notes in Mathematics: From Geometry, to Physics, to Machine Learning\u003c\/h1\u003e \u003ch2\u003eHe, Yang-Hui\u003c\/h2\u003e \u003cp\u003eCan artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. \u003c\/p\u003e\u003cp\u003eThe study of Calabi–Yau manifolds lies at an exciting intersection between physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi–Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry.\u003c\/p\u003e\n\u003cp\u003eDriven by data and written in an informal style, \u003ci\u003eThe Calabi–Yau Landscape\u003c\/i\u003e makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2021-08-02\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030775612\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-77562-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 206\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45369839583372,"sku":"9783030775612","price":62.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030775612.jpg?v=1775675786","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030775612","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}