Essence of
12 chapters · AI quizzes · AI tutor · inspired by 3Blue1Brown
The fundamental building blocks
What space can vectors reach?
Matrices as movement
The scaling factor of space
Undoing transformations
Projections and linear functionals
Perpendicularity and signed area
Solving equations with determinants
Translating between coordinate systems
Special directions that only get scaled
The eigenbasis and matrix powers
When anything can be a vector
Solving systems the systematic way
The most powerful matrix factorization
Least squares, QR, and Gram-Schmidt
The language of optimization in ML