Machine Learning, Linear Algebra, Mathematics, Basics, Data Science.
remember what “rank” is. If not, please go back to Part 2 to check it out again. In short, rank is equal to the number of pivots in a matrix. We call it “full rank” when the rank is equal to the maximum dimension (row or column, whichever is smaller) of a matrix. We call it “rank deficient” if the