Thread: Problem 3.7d
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Old 10-13-2012, 08:43 PM
mileschen mileschen is offline
Join Date: Sep 2012
Posts: 11
Default Re: Problem 3.7d

Could you possibly redescribe the Problem 3.17b for me? I don't quite understand the requirements of this question. What's the relation between it and the gradient descent algorithm for logistic regression of the textbook?

Originally Posted by htlin View Post
The chapter shows that the optimal column vector, subject to the first-order Taylor's approximation, is the negative gradient. Problem 3.7(d) asks you to consider second-order Taylor's approximation instead, though.

Hope this helps.
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