Question: Consider a simplified logistic regression problem. Given m training samples (z,v'), i = L m. Thedataz' R, and 3' {0, 1}. To fit a logistic

Consider a simplified logistic regression problem. Given m training samples (z,v'), i = L m. Thedataz' R, and 3' {0, 1}. To fit a logistic regression model for classification, we solve the following optimization problem, where # R is a parameter we aim to find: max (6), (1) where the log-likelhood function m (6 = Z {log(1 +exp{0"2'}) + (' 1)8"2'}. i=1

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