Coursera machine learning 第二周 quiz 答案 Octave/Matlab Tutorial

Posted smartweed

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了Coursera machine learning 第二周 quiz 答案 Octave/Matlab Tutorial相关的知识,希望对你有一定的参考价值。

https://www.coursera.org/learn/machine-learning/exam/dbM1J/octave-matlab-tutorial

 

Octave Tutorial

5 试题

1. 

Suppose I first execute the following Octave commands:

A = [1 2; 3 4; 5 6];

B = [1 2 3; 4 5 6];

Which of the following are then valid Octave commands? Check all that apply and assume all options are written in an Octave command. (Hint: A‘ denotes the transpose of A.)

C = A * B;

C = B‘ + A;

C = A‘ * B;

C = B + A;

答案: ab (C = A * B 和 C = B‘ + A;)

 

2. 

Question text

Let A=????16594211714310615138121????.

Which of the following indexing expressions gives B=????16594211714????? Check all that apply.

B = A(:, 1:2);

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

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

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

答案 :ab (B = A(:, 1:2);和 B = A(1:4, 1:2);)

 

3. 

Let A be a 10x10 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);

答案: a. v = A * x;

v = Ax :Undefined function or variable ‘Ax‘.

 

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.

z = sum (v .* w);

z = w‘ * v;

z = v * w‘;

z = w * v‘;

答案: ab (z = sum (v .* w);和 z = w‘ * v; )

column vectors 列向量

 

5. 

In Octave, 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 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;

B = X .^ 2;

B = X ^ 2;

答案: abc

B = X .^ 2 而不是 X ^ 2

以上是关于Coursera machine learning 第二周 quiz 答案 Octave/Matlab Tutorial的主要内容,如果未能解决你的问题,请参考以下文章

Coursera - Machine Learning, Stanford: Week 5

Coursera - Machine Learning, Stanford: Week 11

Coursera - Machine Learning, Stanford: Week 10

Coursera《machine learning》--逻辑回归

coursera—吴恩达Machine Learning笔记(4-6周)

Coursera machine learning 第二周 quiz 答案 Octave/Matlab Tutorial