No Bullshit Guide to Linear Algebra

Ivan Savov

ISBN 10: 0992001021 / ISBN 13: 9780992001025

Verlag: Minireference Co., 2017

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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, studentThe author, Ivan Savov, combines 17 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.

Bestandsnummer des Verkäufers 9780992001025

Bibliografische Details

• Titel: No Bullshit Guide to Linear Algebra
• Verlag: Minireference Co.
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 0992001021
• ISBN-13: 9780992001025
• Einband: Taschenbuch
• Auflage: 2. Auflage
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Ivan Savov combines 17 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. Tutoring made him realize that understanding connections between concepts is much more important than memorizing facts. It's not about how many equations you know, but about knowing how to get from one equation to another. He founded the Minireference Publishing company to start a revolution in the textbook industry by making textbooks that don't suck.