Question: The regularised loss function L() for a linear regression task with scalar features f(xn) for each data point and target values Zn (n=1...10) is given

The regularised loss function L() for a linear regression task with

The regularised loss function L() for a linear regression task with scalar features f(xn) for each data point and target values Zn (n=1...10) is given as L(w,1)= (wifn-2n)2 + AW2. To find the best fit value of w, take the derivative of L(w.) with respect to W and set it equal to 0. The expression you get is n = 1 o 10 wein-Zn)-(4+ 2) =0 o c+ + - (+ E - Efnan=0 10 - - n=1 w Efnan-(+

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