If only there was a faster known way to get the inverse of a matrix... Gradient descent seems like an ugly hack compared to that (having taken an ML class)
It reminds me of taking the derivative by manually measuring the slope between 2 points on the curve, instead of, you know, directly getting the derivative
It reminds me of taking the derivative by manually measuring the slope between 2 points on the curve, instead of, you know, directly getting the derivative