Machine Learning, Gradient Descent, Programming.
matrix multiplication, it has as many rows as X.T (the number of input variables) and as many columns as E (1). Each element in this matrix is the sum of the input variables in a row of X.T, multiplied by their matching weights: Finally, the function takes the blue matrix above, divides its