Machine Learning, Linear Regression, Regression, Web, Webdev.
the alterations in Y when X is diversified by one tiny unit. ∈ stands for the residual value, that is to say, it shows the discrepancy between the real and predicted values. The error is part and parcel of our lives. We could choose the most robust algorithm, but there’ll always be an ∈, reminding