Apply the logistic regression with gradient descent and show only the first iteration of the algorithm. Use the learning rate =0.5, wo = 0.25, W1=2.5, W23 -3.5, W3=2.5, W X= W0 + W1X1 + W2X2 + W3X3 and assume no regularization is used. Find the value of cost function and write the complete form of the hypothesis at the end of the first iteration. No.of.SavedWishlists (X3) Is the Product Popular? No.of.Clicks No.of.Purchases ProductiD (X1) (X2) P101 10 20 Yes P102 15 15 5 No P103 20 1 Yes P104 15 10 Yes P105 50 10 No P106 20 10 No P107 8. 15 10 No

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Apply the logistic regression with gradient descent and show only the first iteration of the algorithm. Use the learning rate =0.5,
WO = 0.25. W1=2.5, W2= -3.5, W3=2.5, W X= wo + W1X1 + W2X2 + W3X3 and assume no regularization is used. Find the
value of cost function and write the complete form of the hypothesis at the end of the first iteration.
No.of.Purchases
Is the Product
Popular?
No.of.Clicks
No.of.SavedWishlists
ProductiD
(X1)
(X2)
(X3)
P101
10
20
Yes
P102
15
15
No
P103
20
8
Yes
P104
15
10
Yes
P105
50
10
No
P106
20
10
2
No
P107
8
15
10
No
Transcribed Image Text:Apply the logistic regression with gradient descent and show only the first iteration of the algorithm. Use the learning rate =0.5, WO = 0.25. W1=2.5, W2= -3.5, W3=2.5, W X= wo + W1X1 + W2X2 + W3X3 and assume no regularization is used. Find the value of cost function and write the complete form of the hypothesis at the end of the first iteration. No.of.Purchases Is the Product Popular? No.of.Clicks No.of.SavedWishlists ProductiD (X1) (X2) (X3) P101 10 20 Yes P102 15 15 No P103 20 8 Yes P104 15 10 Yes P105 50 10 No P106 20 10 2 No P107 8 15 10 No
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