In order to work with gradients and straight lines successfully, a good understanding of coordinates and linear graphs is needed. The gradient of a line is calculated by dividing the difference in the ...

Stochastic Gradient Descent (SGD) is one of the most widely used optimization techniques in machine learning. It is especially important in training models such as linear regression, logistic ...