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.

minmaxscaler

maxabsscaler

both a & b

none of the mentioned

Answer» c. both a & b

Note:

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

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

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Which of the following is an example of a deterministic algorithm?

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Question:

Which of the following is an example of a deterministic algorithm?

pca

k-means

none of the above

Answer» a. pca

Note:

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

Which of the following is an example of a deterministic algorithm? Read More »

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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.

true

false

Answer» a. true

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. Read More »

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When only costs are involved, the AE method is sometimes called theannual equivalent cost method.

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Question:

When only costs are involved, the AE method is sometimes called theannual equivalent cost method.

true

false

Answer» a. true

Note:

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

When only costs are involved, the AE method is sometimes called theannual equivalent cost method. Read More »

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Time Complexity of Breadth First Search is? (V – number of vertices, E – number of edges)

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Question:

Time Complexity of Breadth First Search is? (V – number of vertices, E – number of edges)

o(v + e)

o(v)

o(e)

o(v*e)

Answer» a. o(v + e)

Note:

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

Time Complexity of Breadth First Search is? (V – number of vertices, E – number of edges) Read More »

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Which of the following isnotsupervised learning?

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Question:

Which of the following isnotsupervised learning?

pca

decision tree

naive bayesian

linerar regression

Answer» a. ��pca

Note:

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Which of the following isnotsupervised learning? Read More »

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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:

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

quality-oriented businesses care only about external customers.

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

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.

The difference between and internal and an external customer is: Read More »

» Software Testing and Quality Assurance (STQA) solved MCQs

Which of the following is not Machine Learning?

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Question:

Which of the following is not Machine Learning?

artificial intelligence

rule based inference

both a & b

none of the mentioned

Answer» b. rule based inference

Note:

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Which of the following is not Machine Learning? Read More »

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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.

dictvectorizer

featurehasher

both a & b

none of the mentioned

Answer» c. both a & b

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. Read More »

» Machine Learning (ML) solved MCQs

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.

» Machine Learning (ML) solved MCQs / admin

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.

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

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

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

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.

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. Read More »

» Machine Learning (ML) solved MCQs

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.

Which of the following is an example of a deterministic algorithm?

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

When only costs are involved, the AE method is sometimes called theannual equivalent cost method.

Time Complexity of Breadth First Search is? (V – number of vertices, E – number of edges)

Which of the following isnotsupervised learning?

The difference between and internal and an external customer is:

Which of the following is not Machine Learning?

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

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.