Machine Learning, Gradient Descent, Linear Regression, Python, Optimization.
Summation of the absolute difference between predicted and actual value for all the data points. Mathematically, this is Mean error: Total error / number of data points. Mathematically, this is Mean squared error: Summation of the square of absolute difference / number of data points.