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Learning Logistic Regressors by Gradient Descent

Conditional likelihood for Logistic Regression is concave. Find optimum with gradient ascent ! Gradient ascent is simplest of optimization approaches " e.g., Conjugate gradient ascent can be much better Gradient: Step size ... Learning Problems as Expectations !

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  Logistics, Regression, Expectations, Conditional, Logistic regression

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