Machine Learning, Data Science, Mathematics, Artificial Intelligence, Deep Learning.
two-dimensional space represents a line. The height of the function at each point is the error value for that line. You can see that some lines yield smaller error values than others (i.e., fit our data better). When we run gradient descent search, we will start from some location on this surface