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Coursera machine learning week 2 Quiz answer Octave and Matlab Tutorial | Andrew NG￼
1. Suppose I first execute the following Octave/Matlab commands:
A = [1 2; 3 4; 5 6]; B = [1 2 3; 4 5 6];
Which of the following are then valid commands? Check all that apply. (Hint: A’ denotes the transpose of A.)
Which of the following indexing expressions gives
Check all that apply.
- B = A(:, 1:2);
- B = A(1:4, 1:2);
- B = A(:, 0:2);
- B = A(0:4, 0:2);
3. Let A be a 10×10 matrix and x be a 10-element vector. Your friend wants to compute the product Ax and writes the following code:
v = zeros(10, 1); for i = 1:10 for j = 1:10 v(i) = v(i) + A(i, j) * x(j); end end
How would you vectorize this code to run without any for loops? Check all that apply.
- v = A * x;
- v = Ax;
- v = x’ * A;
- v = sum (A * x);
4. Say you have two column vectors v and w, each with 7 elements (i.e., they have dimensions 7×1). Consider the following code:
z = 0; for i = 1:7 z = z + v(i) * w(i) end
Which of the following vectorizations correctly compute z? Check all that apply.
- z = sum (v .* w);
- z = w’ * v;
- z = v * w’;
- z = w * v’;
5. In Octave/Matlab, many functions work on single numbers, vectors, and matrices. For example, the sin function when applied to a matrix will return a new matrix with the sin of each element. But you have to be careful, as certain functions have different behavior. Suppose you have an 7×7 matrix X. You want to compute the log of every element, the square of every element, add 1 to every element, and divide every element by 4. You will store the results in four matrices, A, B, C, D. One way to do so is the following code:
for i = 1:7 for j = 1:7 A(i, j) = log(X(i, j)); B(i, j) = X(i, j) ^ 2; C(i, j) = X(i, j) + 1; D(i, j) = X(i, j) / 4; end end
Which of the following correctly compute A, B, C or D? Check all that apply.
- C = X + 1;
- D = X / 4;
- A = log (X);
- B = X ^ 2;
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Is Andrew Ng’s Machine Learning course good?
It is the Best Course for Supervised Machine Learning! Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!
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How long does it take to finish coursera Machine Learning?
this specialization requires approximately 3 months with 75 hours of materials to complete, and I finished it in 3 weeks and spent an additional 1 week reviewing the whole course.
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Submit a programming assignment Open the assignment page for the assignment you want to submit. Read the assignment instructions and download any starter files. Finish the coding tasks in your local coding environment. Check the starter files and instructions when you need to. Reference