Machine Learning, Data Science, Dimensionality Reduction, Intuition, Linear Algebra.
p4), and store these scaled vectors row-wise in matrix W. Now we can define the outer product between vector p, representing the lengths of projections, and vector b, the unit vector we projected on, as: Which gives us the “vectors of projections,” one in each row. Floor #3 — Flip The Mat And Be A