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WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 16. März 2007
The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bestandsnummer des Verkäufers GOR010327527
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.
Titel: No bullshit guide to linear algebra
Verlag: Minireference Co.
Erscheinungsdatum: 2020
Einband: Paperback
Zustand: Very Good
Auflage: 2. Auflage
Anbieter: Affordable Collectibles, Columbia, MO, USA
Paperback. Zustand: Very Good. No marks. Minimal use. Bestandsnummer des Verkäufers 25080059
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Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9780992001025
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Paperback or Softback. Zustand: New. No Bullshit Guide to Linear Algebra 1.5. Book. Bestandsnummer des Verkäufers BBS-9780992001025
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Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 42244075
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Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780992001025
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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