Linear Regression, Gradient Descent, Machine Learning, Mathematics, Data Analysis.
all point towards the angle of steepest ascent relative to their point. Martin Thoma Sensibly, then, taking the negative gradient of the function would mean getting the directions of steepest descent. So, we could expect the best way to get each theta down is to adjust all thetas by the negative