Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

The primary goal of a linear regression training algorithm is to compute coefficients that make the difference between reality and the model’s predictions consistently small.