Consider a data set where each data point yi is associated with a weighting factor ????>0. Therefore, the sum-of-squares error function becomes????(??)= 12 S????{????- ????????}2????=1 .Find an...

Consider a data set where each data point yi is associated with a weighting factor ????>0. Therefore, the sum-of-squares error function becomes????(??)= 12 S????{????- ????????}2????=1 .Find an expression for the solution ??^ that minimizes the error function. Also provide two alternative interpretations of the weighted sum-of-squares error function in terms of (i) data dependent noise variance and (ii) replicated data points.

0, so that the sum-of-squares error function becomes factor n > 0, so that the sum-of-squares error function becomes (3.104) n=1 Find an expression for the solution w* that minimizes this error function. Give two alternative interpretations of the weighted sum-of-squares error function in terms of (i) data dependent noise variance and (ii) replicated data points." src="https://d2vlcm61l7u1fs.cloudfront.net/media%2F8f2%2F8f2bd092-c1f4-4c40-a147-b5166068d92a%2FphpXekTNN.png" style="height:231px; width:722px" />