Linear Algebra: Theory, Intuition, Code

Linear algebra is a fundamental branch of mathematics that is widely used in fields such as physics, engineering, computer science, economics, and more. It involves the study of linear equations, vectors, matrices, and their properties. Linear algebra provides a powerful framework for solving problems that involve large amounts of data or complex systems.

"Linear Algebra: Theory, Intuition, Code" is a comprehensive guide to linear algebra, written by Sergey Kuznetsov, a mathematician and software engineer with over 20 years of experience. This book is designed to provide a deep understanding of linear algebra, with a focus on intuition and practical applications.

The book is divided into three parts: theory, intuition, and code. In the theory section, Kuznetsov provides a rigorous introduction to the mathematical concepts of linear algebra, including vector spaces, linear transformations, and eigenvalues and eigenvectors. The intuition section presents a more intuitive approach to linear algebra, with a focus on visualizations and examples. Finally, the code section demonstrates how to implement linear algebra algorithms in Python, using the NumPy library.

This book is suitable for anyone with a basic knowledge of mathematics and programming, who wants to deepen their understanding of linear algebra. It is also an excellent resource for students, researchers, and professionals in fields such as data science, machine learning, and computer graphics. With its clear explanations, insightful examples, and practical code, "Linear Algebra: Theory, Intuition, Code" is an essential guide to this important mathematical discipline.

Author: Mike X Cohen

Link to buy: https://www.amazon.com/gp/aw/d/9083136604/

Ratings: 4.7 out of 5 stars (from 173 reviews)

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#11 in Linear Algebra (Books)

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