Machine Learning, Data Science, Artificial Intelligence.
With real life data, that’s not true; f(1) might be 1.01 or 0.99, … or even 2.00. There’s always a degree of uncertainty and that’s what makes fitting a model both challenging and interesting. We gotta get rid of the noise first! What’s g(x)? That should be your big question now. With linear