본문 바로가기

BITS

[Machine Learning by Stanford] Linear Regression with Multiple Variables - Quiz

This is a brief summary of ML course provided by Andrew Ng and Stanford in Coursera.

You can find the lecture video and additional materials in 

https://www.coursera.org/learn/machine-learning/home/welcome

 

Coursera | Online Courses From Top Universities. Join for Free

1000+ courses from schools like Stanford and Yale - no application required. Build career skills in data science, computer science, business, and more.

www.coursera.org

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.)

1. C = A * B;

2. C = B' + A;

3. C = A' * B;

4. C = B + A;

 

Answer: 1,2

 

2. Let $A = \left[\begin{array} {rrr} 16 & 2 & 3 & 13 \\ 5 & 11 & 10 & 8 \\ 9 & 7 & 6 & 12 \\ 4 & 14 & 15 & 1 \end{array}\right] $.

Which of the following indexing expressions gives $B = \left[\begin{array} {rrr} 16 & 2\\ 5 & 11 \\ 9 & 7 \\ 4 & 14 \end{array}\right] $? Check all that apply. 

 

1. B = A(:, 1:2);

2. B = A(1:4, 1:2);

3. B = A(0:2, 0:4)

4. B = A(1:2, 1:4);

 

Answer: 1,2

 

3. Let A be a 10x10 matrix andx be a 10-element vector. Your friend wants to compute the product AxAx 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.

1. v = A * x;

2. v = Ax;

3. v = x' * A;

4. v = sum (A * x);

 

Answer: 1

 

4. Say you have two column vectors v and w, each with 7 elements (i.e., they have dimensions 7x1). 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.

1. z = sum (v .* w);

2. z = v' * w;

3. z = v * w';

4. z = v .* w;

 

Answer: 1,2

 

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 7x7 matrix XX. 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, DA,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.

1.C = X + 1;

2.D = X / 4;

3.B = X .^ 2;

4.B = X ^ 2;

 

Answer: 1,2,3