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Science & Mathematics - No bullshit guide to linear algebra

Description

Book Synopsis: Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, quantum mechanics, and countless other applications. Indeed, linear algebra offers a powerful toolbox for modelling the real world.

The NO BULLSHIT GUIDE TO LINEAR ALGEBRA shows the connections between the computational techniques of linear algebra, their geometric interpretations, and the theoretical foundations. This university-level textbook contains lessons on linear algebra written in a style that is precise and concise. Each concept is illustrated through definitions, formulas, diagrams, explanations, and examples of real-world applications. Readers build their math superpowers by solving practice problems and learning to use the computer algebra system SymPy to speed up tedious matrix arithmetic tasks.

“The book explains the concepts in a way that gives a strong intuitive understanding.” — Joe Nestor, student

“It’s very well written and a fun read!” — Felix Kwok, professor

“I used this book in multiple big data courses when I needed a deeper understanding of the material.” — Zane Zakraisek, student

The author, Ivan Savov, combines 15 years of tutoring experience with a B.Eng. in electrical engineering, an M.Sc. in physics, and a Ph.D. in computer science from McGill University.

Details

Looking to build your math superpowers? Look no further than the No Bullshit Guide to Linear Algebra! As the foundation of science and engineering, linear algebra is a prerequisite for numerous fields such as statistics, machine learning, computer graphics, and more. With this comprehensive university-level textbook, you'll gain a strong intuitive understanding of the subject.

This book goes beyond simply presenting the computational techniques of linear algebra. It also shows you the connections between these techniques, their geometric interpretations, and the theoretical foundations. Each concept is precisely explained through formulas, diagrams, and real-world examples, making it easy to grasp and apply.

But don't just take our word for it. Students and professors alike have praised the No Bullshit Guide to Linear Algebra for its clarity and engaging style. "The book explains the concepts in a way that gives a strong intuitive understanding," says Joe Nestor, a satisfied student. Even professor Felix Kwok confirms, "It's very well written and a fun read!"

If you're thinking that this book is only suitable for theory, think again. Students like Zane Zakraisek have utilized it in big data courses, leveraging its contents to gain a deeper understanding of the material. Whether you're a student, a researcher, or a professional in the sciences or engineering, this book is an invaluable resource.

Written by Ivan Savov, a highly qualified author with 15 years of tutoring experience and a Ph.D. in computer science from McGill University, the No Bullshit Guide to Linear Algebra is your path to mastering this essential subject. Start building your math superpowers today and get your copy now!

Disclosure: I get commissions for purchases made through links in this website