Linear Algebra, Machine Learning, Mathematics.
e is known as Gram-Schmidt orthonormalization as the vectors are normalized. The best way to understand this is by seeing how its done through a set of vectors graphed out like so: If we zoom in further it would look like this: Techinically speaking, we would first need to make sure these vectors