Linear Regression, Gradient Descent, Machine Learning, Mathematics, Data Analysis.
characteristics of the gradient vector, when placed in the input space of the function, is that it always points in the direction of steepest ascent. (no matter the amount of dimensions). The proof for this is rather intuitive but requires an understanding of directional derivatives, as well as