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No Bullshit Guide to Linear Algebra

No Bullshit Guide to Linear Algebra

ByIvan Savov

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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, and quantum mechanics. Indeed, linear algebra offers a powerful toolbox for modelling the 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, 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. The author 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

Publication Date
Aug 1, 2014
Language
English
Category
Science & Medicine
Copyright
All Rights Reserved - Standard Copyright License
Contributors
By (author): Ivan Savov

Specifications

Pages
596
Binding
Perfect Bound
Interior Color
Black & White
Dimensions
Digest (5.5 x 8.5 in / 140 x 216 mm)

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