1: 3Blue1Brown Series Vectors, what even are they?

2: 3Blue1Brown Series Linear combinations, span, and basis vectors

3: 3Blue1Brown Series Linear transformations and matrices

4: 3Blue1Brown Series Matrix multiplication as composition

5: 3Blue1Brown Series Three-dimensional linear transformations

6: 3Blue1Brown Series The determinant

7: 3Blue1Brown Series Inverse matrices, column space and null space

8: 3Blue1Brown Series Nonsquare matrices as transformations between dimensions

9: 3Blue1Brown Series Dot products and duality

10: 3Blue1Brown Series Cross products

11: 3Blue1Brown Series Cross products in the light of linear transformations

12: 3Blue1Brown Series Cramer's rule, explained geometrically

13: 3Blue1Brown Series Change of basis

14: 3Blue1Brown Series Eigenvectors and eigenvalues

15: 3Blue1Brown Series A quick trick for computing eigenvalues

16: 3Blue1Brown Series Abstract vector spaces