Geometry and algebra of linear maps, vectors, and matrices
When Ax = b has no exact solution (the usual case with more data than parameters), you do the next best thing: find the x that makes Ax as close to b as possible. "Close" means smallest squared error. This is least squares, the method underneath ordinary regression.
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▶ Least Squares