“Mathematics is the art of reducing any problem to linear algebra.” This is a quote often attributed to William Stein, a former mathematics professor at the University of Washington, now the lead ...

This book serves as an introduction to linear algebra for undergraduate students in data science, statistics, computer science, economics, and engineering. The book presents all the essentials in ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the standard techniques for linear algebra, multilinear algebra and ...

When she was a college student, Stephanie Pridgeon fell hard for a documentary by award-winning director Sandi DuBowski. In this full circle moment, she introduced her students to DuBowski's work ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

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Most linear algebra courses start by considering how to solve a system of linear equations. \[ \begin{align} a_{0,0}x_0 + a_{0,1}x_0 + \cdots a_{0,n-1}x_0 & = b_0 ...

Students graph linear equations in Zach Loy’s ninth-grade algebra class at Braham Area High School in Minnesota. Credit: Patience Zalanga for The Hechinger Report The Hechinger Report covers one topic ...

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In the fall of 2014, Andrew Wilson took a front-row seat in Ken Ono’s number-theory class at Emory University, in Atlanta. Wilson was not only double-majoring in applied math and physics; he was also ...