Machine Learning, Deep Learning, Stochastic Gradient, Data Science, Editors Pick.
triangle, called the nabla. In a machine learning model, you can think of the gradient as the collection of partial derivatives, each one with respect to one of the model’s features. The gradient of a function will always point in the direction where there’s the greatest increase in the function.