Classification. a. What is the reason we use a ligistic/sigmoid function ( g( z) ) in logistic regression. b. Show that g ' ( z)=g( z)(1−g( z)) c. Derive the update rule for gradient descent for logistic regression

Classification. a. What is the reason we use a ligistic/sigmoid function ( g( z) ) in logistic regression. b. Show that g ' ( z)=g( z)(1−g( z)) c. Derive the update rule for gradient descent for logistic regression

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...

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Question

3. Classification.

a. What is the reason we use a ligistic/sigmoid function ( g( z) ) in logistic regression.

b. Show that g ' ( z)=g( z)(1−g( z))

c. Derive the update rule for gradient descent for logistic regression

Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.

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