Consider the linear regression model h_\theta(x) = \theta_0 + \theta_1xh θ ​ (x)=θ 0 ​ +θ 1 ​ x. What are the values of \theta_0θ 0 ​ and \theta_1θ 1 ​ that you would expect to obtain upon running gradient descent on this model? (linear regression will be able to fit this data perfectly.)
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