Machine Learning, Gradient Descent, Data Visualization, Data Science.
(or thetas) to optimize, and they are represented by the x and y dimension in the graph. The surface is the loss function. We want to find the (x, y) combination that’s at the lowest point of the surface. The problem is trivial to us because we can see the whole surface. But the ball (the descent