consider fitting a 2 regularized linear regression model to data x 1 y 1 x n y n where x t y t r are scalar values for each t 1 n to fit the parameters of this model one solves min r 0 rl 0 where l 0 t 1n y t x
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Consider fitting a
â„“2
(x(1),y(1)),â€¦,(x(n),y(n))
x(t),y(t)âˆˆR
t=1,â€¦,n

where

Here
Î»â‰¥0
Î»
Write down an expression for the gradient of the above objective function in terms of
Î¸
Important: If needed, please enter
âˆ‘nt=1(â€¦)
x(t)
y(t)
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