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English(EN) Mathematics of Data Science

新书《数据科学数学》在arXiv上发布

一本题为《数据科学数学》的新书已在arXiv上发布,作者是Thomas Strohmer。该书深入探讨了数据科学的数学基础,涵盖了奇异值分解、主成分分析、线性回归和深度学习等主题。它还探讨了压缩感知、矩阵集中不等式和非线性降维等高级概念。 AI

影响 提供了理解和开发高级AI和机器学习模型所需的关键基础数学概念。

排序理由 该条目是一篇在arXiv上发表的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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新书《数据科学数学》在arXiv上发布

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该条目是一篇在arXiv上发表的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Afonso S. Bandeira, Amit Singer, Thomas Strohmer ·

    数据科学数学

    arXiv:2607.11938v1 Announce Type: cross Abstract: This book is about the mathematical foundations of data science. 1. Introduction 2. Curses, Blessings, and Surprises in High Dimensions 3. Singular Value Decomposition and Principal Component Analysis 4. Linear Regression and Regu…