Problem 3.7d
The problem asks us to prove that the optimal column vector is in the opposite direction of the inverse of the Hessian times the gradient.
But didn't the chapter prove that the optimal column vector is in the opposite direction of the gradient? 
Re: Problem 3.7d
Quote:
Hope this helps. :) 
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:

All times are GMT 7. The time now is 11:38 AM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2021, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.