Linear Regression, Gradient Descent, Machine Learning, Mathematics, Data Analysis.
algorithm is. We are trying to choose the proper θ1 and θ0 to minimize the final scalar given by the cost function, which means the differences (dashed lines) are as short as possible. Now, to automatically find the values for θ1 and θ0 that minimize the cost function, we can use a technique widely