The derivative of Log likelihood function of logistic regression with respect to theta is
Why can't we equate it to zero and solve for theta so that we can obtain a 'closed form solution' for theta? Is it because of the non linearity of theta in the equation?
Can OLS method in linear regression which is a closed form solution, be categorized as a 'linear optimization' technique? (unlike gradient descent which is a 'non-linear optimization' method?)