Question: Gradient Descent Let be the likelihood function as a function of for a given . Recall from Lecture 9 the gradient of a real-valued function

Gradient Descent Let be the likelihood function as a function of for a given . Recall from Lecture 9 the gradient of a real-valued function . We can use gradient descent to find a local minimum of the negative of the log-likelihood function. The gradient descent optimization algorithm, in general, is used to find the local minimum of a given function around a starting initial point

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