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GO Classes | DA Course| Machine Learning

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Suppose we are performing gradient descent to minimize the empirical risk of a linear regression model $y=\beta_0+\beta_1 x_1+\beta_2 x_1^2+\beta_3 x_2$ on a dataset with 100 observations. Let $\mathcal{D}$ be the number of components in the gradient. What is $\mathcal{D}$ for the gradient used to optimize this linear regression model ?

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