error minimization techniques
Question
How do linear and logistic regression differ in their error minimization techniques?
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Answer ( 1 )
Linear regression normally uses ordinary least squares method to minimize the
errors and arrive at a best possible fit, while logistic regression uses maximum
likelihood method to arrive at the solution (you can use maximum likelihood too for LR if
you want)