Thread: Problem 3.7d
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Old 10-13-2012, 07:43 PM
mileschen mileschen is offline
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Join Date: Sep 2012
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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?

Quote:
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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