Question 1

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

Accepted Answer

The answer of Which of the following techniques can not...

Question 2

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

Accepted Answer

K-means clustering can fail in cases where the data contains outliers, has different densities, or has nonconvex shapes because it assumes clusters are convex and isotropic, and it uses the mean distance which can be heavily influenced by outliers.

Question 3

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.

Accepted Answer

The answer of Which of the following is a reasonable...

Question 4

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

Accepted Answer

Raw data often requires multiple rounds of processing for various reasons such as cleaning, transformation, and analysis. The statement that it should be processed only one time is false, as iterative processing is a common practice in data analysis.

Question 5

According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?
A)Big data management and data mining
B)Data warehousing and business intelligence
C)Management of Hadoop clusters
D)Collecting and storing unstructured data

Accepted Answer

The answer of According to analysts, for what can traditional...

Question 6

________ Programming language is dialect of S.
A)B
B)C
C)R
D)None of the above

Accepted Answer

R is a programming language and free software environment for statistical computing and graphics, which is considered a dialect of S. S is a statistical programming language developed at Bell Laboratories. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.

Question 7

File containing R scripts end with extension _______.
A).R
B).S
C).bigdata
D)All of the above

Accepted Answer

Files containing R scripts typically end with the extension .R, indicating that they are R language files.

Question 8

Which of the following is a subset of machine learning?
A)Numpy
B)SciPy
C)Deep Learning
D)All of the above

Accepted Answer

Deep Learning is a subset of machine learning that involves networks capable of learning unsupervised from data that is unstructured or unlabeled.

Question 9

How many layers Deep learning algorithms are constructed?
A)2
B)3
C)4
D)5

Accepted Answer

Deep learning algorithms are constructed with three layers: an input layer, hidden layers, and an output layer.

Quiz 4: Data Analysis and Visualization

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

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

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

Which of the following is false?

According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?

________ Programming language is dialect of S.

File containing R scripts end with extension _______.

Which of the following is a subset of machine learning?

How many layers Deep learning algorithms are constructed?