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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 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.
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 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.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Arithmetik & Algebra |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 596 |
| ISBN-13: | 9780992001025 |
| ISBN-10: | 0992001021 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Savov, Ivan |
| Auflage: | 2. Auflage |
| Hersteller: | Minireference Co. |
| Maße: | 216 x 140 x 32 mm |
| Von/Mit: | Ivan Savov |
| Erscheinungsdatum: | 25.10.2020 |
| Gewicht: | 0,739 kg |
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Arithmetik & Algebra |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 596 |
| ISBN-13: | 9780992001025 |
| ISBN-10: | 0992001021 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Savov, Ivan |
| Auflage: | 2. Auflage |
| Hersteller: | Minireference Co. |
| Maße: | 216 x 140 x 32 mm |
| Von/Mit: | Ivan Savov |
| Erscheinungsdatum: | 25.10.2020 |
| Gewicht: | 0,739 kg |
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