Question: Exercise 5 Regression and gradient descent (a) Least square fit fLS(x) minimization of . indicate/specify + why does the quality increase if is minimized. (b)

Exercise 5 Regression and gradient descent (a) Least square fit fLS(x)

Exercise 5 Regression and gradient descent (a) Least square fit fLS(x) minimization of . indicate/specify + why does the quality increase if is minimized. (b) geometric or algebraic approach better in practice? (c) State the system of equations Ab=y with an algebraic approach. (d) Gradient g(x) with xinit(xinit is not =xmin) how does xi become xi+1

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