New book "Mathematics of Data Science" published on arXiv

By PulseAugur Editorial · [1 sources] · 2026-07-15 04:00

A new book titled "Mathematics of Data Science" has been published on arXiv, authored by Thomas Strohmer. The book delves into the mathematical underpinnings of data science, covering topics such as singular value decomposition, principal component analysis, linear regression, and deep learning. It also explores advanced concepts like compressed sensing, matrix concentration inequalities, and nonlinear dimension reduction. AI

IMPACT Provides foundational mathematical concepts crucial for understanding and developing advanced AI and machine learning models.

RANK_REASON The item is a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Afonso S. Bandeira, Amit Singer, Thomas Strohmer · 2026-07-15 04:00

Mathematics of Data Science

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…