Least Squares Fitting: From Mathematical Foundations to Machine Learning
Suppose we measure a quantity at several points. The observations do not lie perfectly on a line: experiments contain noise, models are imperfect, and the world is more complicated than our equations. We therefore need a principled way to choose the line—or, more generally, the model—that best represents the data. Read more