Computer Science Engineering (CSE)

Which of the following scale data by removing elements that don’t belong to a given range or by considering a maximum absolute value.

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Question:

Which of the following scale data by removing elements that don’t belong to a given range or by considering a maximum absolute value.

A.

minmaxscaler

B.

maxabsscaler

C.

both a & b

D.

none of the mentioned

Answer» c. both a & b

Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Given the scope and consequences of violent crimes, it is advisable to seek out and preserve all available digital evidence.

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Question:

Given the scope and consequences of violent crimes, it is advisable to seek out and preserve all available digital evidence.

A.

true

B.

false

Answer» a. true

Note: The above multiple-choice question is for all general and Competitive Exams in India. 

The difference between and internal and an external customer is:

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Question:

The difference between and internal and an external customer is:

A.

internal customers usually work in the business, external customers do not.

B.

quality-oriented businesses care only about external customers.

C.

external customers care about what they receive, internal customers do not.

D.

internal customers do not evaluate quality, and external customers do.

Answer» b. quality-oriented businesses care only about external customers.

Note: The above multiple-choice question is for all general and Competitive Exams in India. 

             produce sparse matrices of real numbers that can be fed into any machine learning model.

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Question:

             produce sparse matrices of real numbers that can be fed into any machine learning model.

A.

dictvectorizer

B.

featurehasher

C.

both a & b

D.

none of the mentioned

Answer» c. both a & b

Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.

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Question:

Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.

A.

true – this works always, and these multiple perceptrons learn to classify even complex problems

B.

false – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do

C.

true – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded

D.

false – just having a single perceptron is enough

Answer» c. true – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded

Note: The above multiple-choice question is for all general and Competitive Exams in India.