Linear Algebra: Theory, Intuition, Code
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Linear Algebra: Theory, Intuition, Code

by Mike X Cohen

Programming Mathematics Data Science
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Linear Algebra: Theory, Intuition, Code offers a balanced introduction to linear algebra by bringing together mathematical theory, intuitive explanations, and coding. Written by Mike X Cohen, it is suited to readers seeking a clearer connection between abstract concepts and computational practice.

About This Book

Linear Algebra: Theory, Intuition, Code introduces linear algebra through three complementary perspectives: formal theory, intuitive understanding, and computational implementation.

The book is designed for readers who want to connect mathematical concepts with code and practical computation.

Mike X Cohen presents linear algebra as both a mathematical subject and a tool for understanding computational work.

Its focus on theory, intuition, and code offers a balanced approach to studying foundational linear algebra.

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