Machine Learning MCQ Questions: Practice and Test Your Knowledge

Section 1 Section 2 Section 3 Section 4 Section 5

1.
In simple term, machine learning is

A. training based on historical data

B. prediction to answer a query

C. both A and B

D. automization of complex tasks

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2.
Which of the following is the best machine learning method?

A. scalable

B. accuracy

C. fast

D. all of the above

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3.
The output of training process in machine learning is

A. machine learning model

B. machine learning algorithm

C. null

D. accuracy

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4.
Application of machine learning methods to large databases is called

A. data mining.

B. artificial intelligence

C. big data computing

D. internet of things

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5.
If machine learning model output involves target variable then that model is called as

A. descriptive model

B. predictive model

C. reinforcement learning

D. all of the above

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6.
What are the different Algorithm techniques in Machine Learning?

A. supervised learning and semi-supervised learning

B. unsupervised learning and transduction

C. both A & B

D. none of the mentioned

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7.
Which of the following is not Machine Learning?

A. artificial intelligence

B. rule based inference

C. both a and b

D. none of the mentioned

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8.
What is 'Overfitting' in Machine learning?

A. when a statistical model describes random error or noise instead of

B. robots are programed so that they can perform the task based on data they gather from

C. while involving the process of learning 'overfitting' occurs.

D. a set of data is used to discover the potentially predictive relationship

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9.
If machine learning model output doesnot involves target variable then that model is called as

A. descriptive model

B. predictive model

C. reinforcement learning

D. all of the above

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10.
Which are two techniques of Machine Learning ?

A. Genetic Programming and Inductive Learning

B. Speech recognition and Regression

C. Both A and B

D. None of the Mentioned

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Machine Learning MCQ Questions: Practice and Test Your Knowledge

1. In simple term, machine learning is

Answer & Solution

2. Which of the following is the best machine learning method?

Answer & Solution

3. The output of training process in machine learning is

Answer & Solution

4. Application of machine learning methods to large databases is called

Answer & Solution

5. If machine learning model output involves target variable then that model is called as

Answer & Solution

6. What are the different Algorithm techniques in Machine Learning?

Answer & Solution

7. Which of the following is not Machine Learning?

Answer & Solution

8. What is 'Overfitting' in Machine learning?

Answer & Solution

9. If machine learning model output doesnot involves target variable then that model is called as

Answer & Solution

10. Which are two techniques of Machine Learning ?

Answer & Solution

Read More Section(Machine Learning)

1.
In simple term, machine learning is

2.
Which of the following is the best machine learning method?

3.
The output of training process in machine learning is

4.
Application of machine learning methods to large databases is called

5.
If machine learning model output involves target variable then that model is called as

6.
What are the different Algorithm techniques in Machine Learning?

7.
Which of the following is not Machine Learning?

8.
What is 'Overfitting' in Machine learning?

9.
If machine learning model output doesnot involves target variable then that model is called as

10.
Which are two techniques of Machine Learning ?