Vectors, what even are they? | Chapter 1
from 3Blue1BrownLinear combinations, span, and basis vectors | Chapter 2
from 3Blue1BrownLinear transformations and matrices | Chapter 3
from 3Blue1BrownMatrix multiplication as composition | Chapter 4
from 3Blue1BrownThree-dimensional linear transformations | Chapter 5
from 3Blue1BrownThe determinant | Chapter 6
from 3Blue1BrownInverse matrices, column space and null space | Chapter 7
from 3Blue1Brown- Nonsquare matrices as transformations between dimensions | Chapter 8
from 3Blue1Brown - Dot products and duality | Chapter 9
from 3Blue1Brown Cross products | Chapter 10
from 3Blue1Brown- Cross products in the light of linear transformations | Chapter 11
from 3Blue1Brown - Cramer's rule, explained geometrically | Chapter 12
from 3Blue1Brown - Change of basis | Chapter 13
from 3Blue1Brown - Eigenvectors and eigenvalues | Chapter 14
from 3Blue1Brown - Abstract vector spaces | Chapter 15
from 3Blue1Brown