Derive the gradient and Hessian matrix for the log-likelihood function of the Poisson regression in Eq. (11.13)
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Derive the gradient and Hessian matrix for the log-likelihood function of the Poisson regression in Eq.
(11.13) and a learning algorithm for the MLE of its parameter w using (i) the gradient-descent method and (ii) Newton’s method.
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Related Book For
Machine Learning Fundamentals A Concise Introduction
ISBN: 9781108940023
1st Edition
Authors: Hui Jiang
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