Linear Algebra and Learning from Data
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Linear Algebra and Learning from Data

by Gilbert Strang

Education Mathematics
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Gilbert Strang connects the foundations of linear algebra with learning from data in this focused mathematical guide. The book presents core ideas in a context that highlights their relevance to data, making it a useful resource for readers exploring the relationship between mathematics and modern analytical methods.

ISBN-13 9780692196380 ASIN 0692196382 Views 363 Publisher Wellesley-Cambridge Press Year 2019 Edition First Edition Format Hardcover Product Group Book Pages 446 Created April 11, 2026 Updated October 28, 2026
About This Book

Linear Algebra and Learning from Data introduces the study of linear algebra through its connection with data.

Written by Gilbert Strang, the book focuses on mathematical ideas relevant to understanding and working with data.

It offers a bridge between foundational mathematics and modern data-oriented learning.

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I will be using this book for:
6 total votes