Question

1 function mysequence = choosesequence; 2 mysequence = [6 1 3 4 5 7 1];% STUDENT MODIFY THIS LINE OF CODE. 3 proceduresteps = { 4 'Define a Gradient Descent Algorithm', 5 'Iterate the gradient descent algorithm using computer simulation methods.',... 6 'Compute the derivative of the discrepancy function with respect to the parameters of the learning machine.',... 7 'Design the discrepancy function to evaluate the predictions of the learning machine.',... 8 'Decide if environment provides learning machine with explicit feedback regarding what is the right answer for a given predictio 9 'Define feature vectors for representing events in the environment. Decide if actions of learning machine modify the environment 10 'Evaluate the performance of the algorithm on both training data and test data. '}; 11 sequencelength = length(mysequence); 12 disp('STEPS FOR MACHINE LEARNING ALGORITHM DESIGN'); 13 for i = 1:sequencelength, 14 disp(['Step #',num2str(i),':', proceduresteps{mysequence(i)}]); 15 end; 16 end 17

          1 function mysequence = choosesequence;
2
mysequence = [6 1 3 4 5 7 1];% STUDENT MODIFY THIS LINE OF CODE.
3 proceduresteps = {
4
'Define a Gradient Descent Algorithm',
5
'Iterate the gradient descent algorithm using computer simulation methods.',...
6
'Compute the derivative of the discrepancy function with respect to the parameters of the learning machine.',...
7
'Design the discrepancy function to evaluate the predictions of the learning machine.',...
8
'Decide if environment provides learning machine with explicit feedback regarding what is the right answer for a given predictio
9
'Define feature vectors for representing events in the environment. Decide if actions of learning machine modify the environment
10
'Evaluate the performance of the algorithm on both training data and test data. '};
11 sequencelength = length(mysequence);
12 disp('STEPS FOR MACHINE LEARNING ALGORITHM DESIGN');
13 for i = 1:sequencelength,
14
disp(['Step #',num2str(i),':', proceduresteps{mysequence(i)}]);
15 end;
16 end
17

1 function mysequence = choosesequence;
2
mysequence = [6 1 3 4 5 7 1];% STUDENT MODIFY THIS LINE OF CODE.
3 proceduresteps =
4
'Define a Gradient Descent Algorithm',
5
'Iterate the gradient descent algorithm using computer simulation methods.',...
6
'Compute the derivative of the discrepancy function with respect to the parameters of the learning machine.',...
7
'Design the discrepancy function to evaluate the predictions of the learning machine.',...
8
'Decide if environment provides learning machine with explicit feedback regarding what is the right answer for a given predictio
9
'Define feature vectors for representing events in the environment. Decide if actions of learning machine modify the environment
10
'Evaluate the performance of the algorithm on both training data and test data. ';
11 sequencelength = length(mysequence);
12 disp('STEPS FOR MACHINE LEARNING ALGORITHM DESIGN');
13 for i = 1:sequencelength,
14
disp(['Step #',num2str(i),':', procedurestepsmysequence(i)]);
15 end;
16 end
17

Added by Molly H.

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