marcoemorais/linalg-theory-intuition-code

Jupyter notebooks with notes, code, and exercises from Linear Algebra: Theory, Intuition, Code by Mike X Cohen (2021).

linear algebra: theory, intuition, code

This repo contains jupyter notebooks with notes, code, and exercises from the book Linear Algebra: Theory, Intuition, Code by Mike X Cohen (Cohen, 2021).

My intent with this repo was not to reproduce all of the details from the book. Instead I created these notebooks as I worked through the book in order to engage more deeply with the material using my own code. Even though I have taken semester-long courses in linear algebra and a graduate course in numerical analysis, I gained a lot of intuition from this book and highly recommend it.

@book{cohen2021linear,
    title={Linear algebra: Theory, intuition, code},
    author={Cohen, Mike X},
    year={2021},
    publisher={[Sl]: Sincxpress Bv}
}

Find more information about the book at the links below:

https://github.com/mikexcohen/LinAlgBook

https://www.amazon.com/Linear-Algebra-Theory-Intuition-Code/dp/9083136604

Chapter Notes

02-Vectors

03-Vector-Multiplications

04-Vector-Spaces

05-Matrices

06-Matrix-Multiplication

07-Matrix-Rank

08-Matrix-Spaces

09-Complex-Numbers

10-Systems-of-Equations

11-Determinant

12-Matrix-Inverse

13-Projections

14-Least-Squares

15-Eigendecompositions

16-SVD

17-Quadratic-Form

18-Covariance-Matrices

19-PCA