Least squares regression is a regression method that estimates model parameters by minimizing the sum of squared differences between predicted and observed values. It is widely used for linear modeling and provides a foundation for many statistical and machine learning prediction techniques.
A linear regression model trained by minimizing L~2~ Loss.