d) Execute the perceptron machine learning algorithm to update the weights of the classifier starting from an initial weight vector of w=[1,1,1]. Show your calculation steps. Use the same order of steps as the data (i.e., test#1, test#2, ....) (Note: this part is NOT related to (c)) step 1 2 3 4 5 6 Weight vector [1,1,1] Score Decision Correct? 1 Yes +1 Weights after last update w=[ ] Training action No change to w

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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d) Execute the perceptron machine learning algorithm to update the weights of the classifier
starting from an initial weight vector of w=[1,1,1]. Show your calculation steps. Use the same
order of steps as the data (i.e., test#1, test #2, ....) (Note: this part is NOT related to (c))
step
1
2
3
4
5
6
Weight vector
[1,1,1]
Weights after last update w=[
Show Transcribed Text
show steps
Score
1
Decision Correct?
+1
Yes
]
Training action
No change to w
Transcribed Image Text:d) Execute the perceptron machine learning algorithm to update the weights of the classifier starting from an initial weight vector of w=[1,1,1]. Show your calculation steps. Use the same order of steps as the data (i.e., test#1, test #2, ....) (Note: this part is NOT related to (c)) step 1 2 3 4 5 6 Weight vector [1,1,1] Weights after last update w=[ Show Transcribed Text show steps Score 1 Decision Correct? +1 Yes ] Training action No change to w
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