Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
Instead, what we are doing is finding the estimators: That minimize the Mean Squared Error, defined as [1]: # Plotting the mean squared error for i in range(len(x)): plt.plot( [x[i], x[i]], [true_model(x[i]), y[i]], color='green', linestyle='dotted', label="Mean Squared Error" if i == len(x)-1 else