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» Machine Learning (ML) solved MCQs

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

» Machine Learning (ML) solved MCQs /
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. 

             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 /
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. 

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

Naive Bayes classifiers is                             Learning

» Machine Learning (ML) solved MCQs /
Question:

Naive Bayes classifiers is                             Learning

A.

supervised

B.

unsupervised

C.

both

D.

none

Answer» a. supervised

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

Naive Bayes classifiers is                             Learning Read More »

» Machine Learning (ML) solved MCQs

According to        , its a key success factor for the survival and evolution of all species.

» Machine Learning (ML) solved MCQs /
Question:

According to        , its a key success factor for the survival and evolution of all species.

A.

claude shannon\s theory

B.

gini index

C.

darwins theory

D.

none of above

Answer» c. darwin�s theory

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

According to        , its a key success factor for the survival and evolution of all species. Read More »

» Machine Learning (ML) solved MCQs

In reinforcement learning if feedback is negative one it is defined as       .

» Machine Learning (ML) solved MCQs /
Question:

In reinforcement learning if feedback is negative one it is defined as       .

A.

penalty

B.

overlearning

C.

reward

D.

none of above

Answer» a. penalty

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

In reinforcement learning if feedback is negative one it is defined as       . Read More »

» Machine Learning (ML) solved MCQs

When it is necessary to allow the model to develop a generalization ability and avoid a common problem called           .

» Machine Learning (ML) solved MCQs /
Question:

When it is necessary to allow the model to develop a generalization ability and avoid a common problem called           .

A.

overfitting

B.

overlearning

C.

classification

D.

regression

Answer» a. overfitting

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

When it is necessary to allow the model to develop a generalization ability and avoid a common problem called           . Read More »

» Machine Learning (ML) solved MCQs

How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?

» Machine Learning (ML) solved MCQs /
Question:

How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?

A.

model capacity increases in increase in dropout rate

B.

model capacity decreases in increase in dropout rate

C.

model capacity is not affected on increase in dropout rate

D.

none of these

Answer» b. model capacity decreases in increase in dropout rate

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

How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)? Read More »

» Machine Learning (ML) solved MCQs

What is the standard approach to supervised learning?

» Machine Learning (ML) solved MCQs /
Question:

What is the standard approach to supervised learning?

A.

split the set of example into the training set and the test

B.

group the set of example into the training set and the test

C.

a set of observed instances tries to induce a general rule

D.

learns programs from data

Answer» a. split the set of example into the training set and the test

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

What is the standard approach to supervised learning? Read More »

» Machine Learning (ML) solved MCQs

Which of the following statement is true about outliers in Linear regression?

» Machine Learning (ML) solved MCQs /
Question:

Which of the following statement is true about outliers in Linear regression?

A.

a)linear regression is sensitive to outliers

B.

b)linear regression is not sensitive to outliers

C.

c)cant say

D.

d)none of these

Answer» a. a)�linear regression is sensitive to outliers

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

Which of the following statement is true about outliers in Linear regression? Read More »

» Machine Learning (ML) solved MCQs