Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set. Gradient Descent finds the minima of cost function, ...

A multivariate linear regression model with q responses as a linear function of p independent variables is considered with a p × q parameter matrix B. The least-squares or normal-theory maximum ...