书单 | xAI 联创推荐的 AI 与基础学科书单
2023-07-1511:33
阿法兔研究笔记
2023-07-15 11:33
阿法兔研究笔记
2023-07-15 11:33
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喜欢研究数学、物理的朋友们欢迎一起交流~对于中文版书籍译名也欢迎在后台提出建议~希望大家在 AI 领域玩的开心~

书单

*本文 2000 字左右


今天,xAI 的联合创始人 Greg Yang,在 Twitter 提到的关于 xAI Space 的书,和其他一些他喜欢的数学领域的书籍,笔者整理了一下,供大家参考。

(注:主要参考英文版,中译书名仅供参考,因为笔者只学过里面一小小小部分)


首先是:是 Axler 的“Linear Algebra Done Right”

和 Halmos 的“Naive Set Theory”


其他书单


"Introduction to Algorithms" by Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein


"Information Theory, Inference and Learning Algorithms" by David J. C. MacKay


"Introduction to Quantum Mechanics" by David J. Griffiths


"Probability Theory: The Logic of Science" by E. T. Jaynes & G. Larry Bretthorst


"Topology" by James R. Munkres


"Representation Theory: A First Course" by William Fulton & Joe Harris


"Probability and Random Processes" by Geoffrey R. Grimmett & David R. Stirzaker


"Computational Complexity: A Modern Approach" by Sanjeev Arora & Boaz Barak


"A Course in Mathematical Logic for Mathematicians" by Yu. I. Manin & Neal Koblitz & B. Zilber


"Model Theory: An Introduction" by David Marker


"Category Theory" by Steve Awodey


"Quantum Computation and Quantum Information" by Michael A. Nielsen & Isaac L. Chuang


"Recursively Enumerable Sets and Degrees" by Robert I. Soare


"Introduction to Homotopy Theory" by Martin Arkowitz


"Set Theory" by Thomas Jech


"Computable Analysis: An Introduction" by Klaus Weihrauch


"Elements of Finite Model Theory" by Leonid Libkin


"Measure Theory vol 1 + 2" by Vladimir I. Bogachev


"Introduction to Smooth Manifolds" by John M. Lee


"An Introduction to Manifolds" by Loring W. Tu


"An Introduction to Algebraic Topology" by Joseph Rotman


"The Red Book of Varieties and Schemes" by David Mumford


"Categories for the Working Mathematician" by Saunders Mac Lane



"Algebra" by Saunders Mac Lane & Garrett Birkhoff


"Introductory Functional Analysis With Applications" by Erwin Kreyszig


"An Introduction to Homological Algebra" by Charles A. Weibel


"Modal Logic" by Patrick Blackburn & Maarten de Rijke & Yde Venema


"Riemannian Manifolds: An Introduction to Curvature" by John M. Lee


"Introduction to Topological Manifolds" by John M. Lee


"Analysis of Boolean Functions" by Ryan O'Donnell


"Certified Programming With Dependent Types: A Pragmatic Introduction to the Coq Proof Assistant" by Adam Chlipala


"Machine Learning: A Probabilistic Perspective " by Kevin P. Murphy


"Methods of Information Geometry" by Shun-Ichi Amari & Hiroshi Nagaoka


"Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering" by Steven Henry Strogatz


"An Introduction to Ergodic Theory" by Peter Walters



"Mathematical Control Theory: Deterministic Finite Dimensional Systems" by Eduardo D. Sontag


"Reinforcement Learning: An Introduction" by Richard S. Sutton & Andrew G. Barto


"Lectures on Polytopes" by Günter M. Ziegler


"Combinatorial Commutative Algebra" by Ezra Miller & Bernd Sturmfels


"Information, Physics, and Computation" by Marc Mézard, Andrea Montanari


"Topics in Random Matrix Theory" by Terence Tao


"A Course in P-Adic Analysis" by Alain M. Robert


"What Is a Quantum Field Theory?" by Michel Talagrand


参考译文:多年来 Greg Yang 真正喜欢的其他数学书籍:

《算法导论》(Introduction to Algorithms),作者:Thomas H. Cormen、Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
《Information Theory, Inference and Learning Algorithms》作者:David J. C. MacKay
《量子力学导=概论论》(Introduction to Quantum Mechanics),作者:David J. Griffiths
《概率论:科学的逻辑》(Probability Theory:The Logic of Science),作者:E. T. Jaynes & G. Larry Bretthorst
《拓扑学》(Topology),作者:James R. Munkres
《RepresentationTheory:A First Course》作者:William Fulton & Joe Harris
《概率与随机过程》(Probability and Random Processes),作者:Geoffrey R. Grimmett & David R. Stirzaker
《Computational Complexity:A Modern Approach》作者:Sanjeev Arora & Boaz Barak
《数学家数理逻辑课程》作者:Yu.I. Manin & Neal Koblitz & B. Zilber
《模型理论:简介》(Model Theory:An Introduction),作者:David Marker(英语:David Marker)
史蒂夫·阿沃迪(Steve Awodey)的“范畴论”
《量子计算和量子信息》(Quantum Computing and Quantum Information),作者:Michael A. Nielsen & Isaac L. Chuang
“递归可枚举集合和度”作者:Robert I. Soare
马丁·阿科维茨的《同伦理论导论》
托马斯·杰赫的“集合论”
Klaus Weihrauch 的“可计算分析:简介”
列昂尼德·利布金(Leonid Libkin)的“有限模型理论的要素”
“测度理论第 1 卷 +2”弗拉基米尔·博加乔夫
《光滑流形导论》作者:John M. Lee
《流形导论》作者:Loring W. Tu
约瑟夫·罗特曼的《代数拓扑学导论》
《品种和方案红皮书》(The Red Book of Variety and Schemes),作者:David Mumford
桑德斯·麦克·莱恩(Saunders Mac Lane)的《工作数学家的类别》(Category for the Working Mathematician)
《代数》作者:Saunders Mac Lane&Garrett Birkhoff
“Introductory Functional Analysis with Applications”作者:Erwin Kreyszig
《同调代数导论》(An Introduction to Homological Algebra),作者:Charles A. Weibel
《Modal Logic》作者:Patrick Blackburn & Maarten de Rijke & Yde Venema
《黎曼流形:曲率导论》作者:约翰·李
“拓扑流形导论”作者:John M. Lee
Ryan O'Donnell 的“布尔函数分析”
“Certified Programming with Dependent Types:A Pragmatic Introduction to the Coq Proof Assistant”作者:Adam Chlipala。
《Machine Learning:A Probabilistic Perspective》作者:Kevin P. Murphy
《信息几何方法》(Methods of Information Geometry),作者:Shun-Ichi Amari&Hiroshi Nagaoka
“非线性动力学和混沌:在物理,生物学,化学和工程中的应用”,作者:Steven Henry Strogatz
彼得·沃尔特斯(Peter Walters)的《遍历理论导论》(An Introduction to Ergodic Theory)
“数学控制理论:确定性有限维系统”作者:Eduardo D. Sontag
《强化学习:简介》(Reinforcement Learning:An Introduction),作者:Richard S. Sutton 和 Andrew G. Barto
《多面体讲座》(Lectures on Polytopes),作者:Günter M. Ziegler
《Combinatorial Commutative Algebra》作者:Ezra Miller & Bernd Sturmfels
《Information, Physics, and Computing》作者:Marc Mézard, Andrea Montanari
《随机矩阵论中的话题》作者:Terence Tao
“P-Adic 分析课程”作者:Alain M. Robert
米歇尔·塔拉格兰德(Michel Talagrand)的《什么是量子场论》(What is a Quantum Field Theory?)

参考资料

1.Greg Yang 的 Twitter

【阅读更多】


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