Machine Learning, Deep Learning, Computer Science.
to slowly adjust our guesses for a and b until our absolute error is acceptably small. Lots can go wrong during gradient descent. Your descent might thrash around by changing the guesses by too much at each step, bouncing back and forth between wrong guesses. It might not update the values by