Linear Algebra
Book description
Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on.
The way linear algebra is presented in traditional textbooks is different from how professionals use linear algebra in…
- Coming soon!
Why read it?
1 author picked Linear Algebra as one of their favorite books. Why do they recommend it?
I like Prof. Cohen's book because it includes computational examples based on Python and NumPy to illustrate each concept. This is the way I like to think about linear algebra concepts.
Yes, it's important to understand the formulas and theoretical ideas, but applying linear algebra operations in the real world will always involve some computational platform and not pen and paper. This is the only book I know that shows readers the practical computational linear algebra in parallel with the theory.
The author provides computational notebooks for each chapter on GitHub, which makes it easy to explore all the material…
From Ivan's list on textbooks for learning linear algebra.
Want books like Linear Algebra?
Our community of 12,000+ authors has personally recommended 100 books like Linear Algebra.
Share your top 3 reads of 2024!
And get a beautiful page showing off your 3 favorite reads.
1,355
readers submitted
so far, will you?
