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Chapter:

Introduction to Machine Learning Solved MCQs

in Bigdata

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration in Computer Applications (BBA [CA]) .

Chapters

Chapter: Introduction to Machine Learning
1.

To find the minimum or the maximum of a function, we set the gradient to zero because:

A. The value of the gradient at extrema of a function is always zero
B. Depends on the type of problem
C. Both A and B
D. None of the above
Answer» A. The value of the gradient at extrema of a function is always zero
2.

Which of the following techniques can not be used for normalization in text mining?

A. Stemming
B. Lemmatization
C. Stop Word Removal
D. None of the above
Answer» C. Stop Word Removal
3.

In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes

A. 1 and 2
B. 2 and 3
C. 1 and 3
D. All of the above
Answer» D. All of the above
4.

Which of the following is a reasonable way to select the number of principal components "k"?

A. Choose k to be the smallest value so that at least 99% of the varinace is retained.
B. Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer).
C. Choose k to be the largest value so that 99% of the variance is retained.
D. Use the elbow method.
Answer» A. Choose k to be the smallest value so that at least 99% of the varinace is retained.
5.

Which of the following is false?

A. Subsetting can be used to select and exclude variables and observations
B. Raw data should be processed only one time.
C. Merging concerns combining datasets on the same observations to produce a result with more variables
D. None Of the above
Answer» B. Raw data should be processed only one time.

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