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5. In this question you will compute certain derivatives used in training logistic regression. The notation is as used in Lecture 28. (a) Show that (2) = 0(2) (1 – o(2)) (b) Show that Vel;(0, b) = – (y) – - (1) - (0"x0 + b)) x9. + 6))x"). o (e'x)

5. In this question you will compute certain derivatives used in training logistic regression. The notation is as used in Lecture 28. (a) Show that (2) = 0(2) (1 – o(2)) (b) Show that Vel;(0, b) = – (y) – - (1) - (0"x0 + b)) x9. + 6))x"). o (e'x)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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5. In this question you will compute certain derivatives used in training logistic regression. The notation is as used in Lecture 28. d (a) Show that o(2) = 0(2) (1 – 0(2)) dzo %3D (b) Show that Vali(0, b) = - (y) – o (0*x0 +b)) x^). l:(0, b) = -y(i) +o (o™x® + b) (c) Show that
Transcribed Image Text:5. In this question you will compute certain derivatives used in training logistic regression. The notation is as used in Lecture 28. d (a) Show that o(2) = 0(2) (1 – 0(2)) dzo %3D (b) Show that Vali(0, b) = - (y) – o (0*x0 +b)) x^). l:(0, b) = -y(i) +o (o™x® + b) (c) Show that
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