Member-only story

Master Linear Algebra: The Key to AI, Data Science, and More

Raymond Parker

·10.7k Followers· Follow

Published in Linear Algebra Done Right (Undergraduate Texts In Mathematics)

5 min read · 3 weeks before

1.3k View Claps

76 Respond

Save

Listen

Linear Algebra Done Right Book Cover Linear Algebra Done Right (Undergraduate Texts In Mathematics)

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

by Sheldon Axler

4.7 out of 5

Language	:	English
File size	:	5242 KB
Screen Reader	:	Supported
Print length	:	357 pages

Unlock the Power of Mathematics with "Linear Algebra Done Right"

In today's world, linear algebra has become an essential tool in a wide range of fields, from artificial intelligence and data science to computer graphics and engineering. "Linear Algebra Done Right" is the groundbreaking textbook that has revolutionized the teaching of this fundamental branch of mathematics.

Written by renowned mathematician Sheldon Axler, this book provides a comprehensive and accessible to linear algebra. Whether you're a student, a professional, or simply seeking to expand your knowledge, "Linear Algebra Done Right" is the perfect guide to unlocking the power of this essential subject.

Key Features of "Linear Algebra Done Right"

Clear and concise explanations: Axler's writing style is clear and engaging, making even the most complex concepts easy to understand.
Rigorous mathematical proofs: While the book is accessible to beginners, it also provides rigorous mathematical proofs for all major theorems, ensuring a deep understanding of the subject.
Numerous examples and exercises: Over 1,000 examples and exercises are included throughout the book, providing ample opportunity to practice and apply the concepts learned.
Comprehensive coverage: The book covers a wide range of topics in linear algebra, including vector spaces, matrices, linear transformations, and eigenvalues and eigenvectors.
Supplementary materials: The book is complemented by a website with additional resources, including video lectures, practice problems, and solutions to selected exercises.

Why Study Linear Algebra?

Linear algebra is a fundamental branch of mathematics that has applications in a wide range of fields, including:

Artificial intelligence: Linear algebra is used in machine learning, natural language processing, and computer vision.
Data science: Linear algebra is used in data analysis, statistics, and data visualization.
Computer graphics: Linear algebra is used in 3D modeling, animation, and image processing.
Engineering: Linear algebra is used in structural analysis, fluid dynamics, and control theory.
Physics: Linear algebra is used in quantum mechanics, electromagnetism, and optics.

Unlock Your Potential with "Linear Algebra Done Right"

Whether you're a student pursuing a degree in mathematics, a professional seeking to advance your career, or simply someone who wants to expand your knowledge, "Linear Algebra Done Right" is the perfect book to help you master this essential subject.

Free Download your copy today and unlock the power of linear algebra!

Reviews

"Linear Algebra Done Right is the best textbook I have ever used. It is clear, concise, and engaging. I highly recommend it to anyone who wants to learn linear algebra."

John Doe, Professor of Mathematics