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Machine Learning MCQ Questions

Machine Learning MCQ Questions

Satyam Jaiswal
31st Jul, 2021

We are introducing here the best Machine Learning (ML) MCQ Questions, which are very popular & asked various times. This Quiz contains the best 25+ Machine Learning MCQ with Answers, which cover the important topics of Machine Learning so that, you can perform best in Machine Learning exams, interviews, and placement activities.

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Machine Learning MCQ Questions

Machine Learning MCQ Questions and Answers

1) What is machine learning ?

A. Machine learning is the science of getting computers to act without being explicitly programmed.
B.Machine Learning is a Form of AI that Enables a System to Learn from Data.
C.Both A and B
D.None of the above

2) Machine learning is an application of ___________.

A. Blockchain
B.Artificial Intelligence
C.Both A and B
D.None of the above

3) Application of Machine learning is __________.

A. email filtering
B.sentimental analysis
C.face recognition
D.All of the above

4) The term machine learning was coined in which year?

A. 1958
B.1959
C.1960
D.1961

5) Machine learning approaches can be traditionally categorized into ______ categories.

A. 3
B.4
C.7
D.9

6) The categories in which Machine learning approaches can be traditionally categorized are ______ .

A. Supervised learning
B.Unsupervised learning
C.Reinforcement learning
D.All of the above

7) _________ is the machine learning algorithms that can be used with labeled data.

A. Regression algorithms
B.Clustering algorithms
C.Association algorithms
D.All of the above

8) __________ is the machine learning algorithms that can be used with unlabeled data.

A. Regression algorithms
B.Clustering algorithms
C.Instance-based algorithms
D.All of the above

9) The Real-world machine learning use cases are _______.

A. Digital assistants
B.Chatbots
C.Fraud detection
D.All of the above

10) Which among the following algorithms are used in Machine learning?

A. Naive Bayes
B.Support Vector Machines
C.K-Nearest Neighbors
D.All of the above

11) __________ are the techniques of keyword normalization

A. Lemmatization
B.Stemming
C.Both A and B
D.None of the above

12) Replace missing values with mean/median/mode helps to handle missing or corrupted data in a dataset. True/False?

A. True
B.False

13) ________ is a disadvantage of decision trees?

A. Decision trees are robust to outliers
B.Decision trees are prone to be overfit
C.Both A and B
D.None of the above

14) ________ is a part of machine learning that works with neural networks.

A. Artificial inteligence
B.Deep learning
C.Both A and B
D.None of the above

15) Overfitting is a type of modelling error which results in the failure to predict future observations effectively or fit additional data in the existing model. Yes/No?

A. Yes
B.No
C.May be
D.Can't say

16) ________ is used as an input to the machine learning model for training and prediction purposes.

A. Feature
B.Feature Vector
C.Both A and B
D.None of the above

17) _______ is the scenario when the model fails to decipher the underlying trend in the input data.

A. Overfitting
B.Underfitting
C.Both A and B
D.None of the above

18) Which Language is Best for Machine Learning?

A. C
B.Java
C.Python
D.HTML

19) The supervised learning problems can be grouped as _______.

A. Regression problems
B.Classification problems
C.Both A and B
D.None of the above

20) The unsupervised learning problems can be grouped as _______.

A. Clustering
B.Association
C.Both A and B
D.None of the above

21) Automatic Speech Recognition systems find a wide variety of applications in the _________ domains.

A. Medical Assistance
B.Industrial Robotics
C.Defence & Aviation
D.All of the above

22) The term machine learning was coined by __________.

A. James Gosling
B.Arthur Samuel
C.Guido van Rossum
D.None of the above

23) Machine Learning can automate many tasks, especially the ones that only humans can perform with their innate intelligence.

A. True
B.False

24) Features of Machine Learning are______.

A. Automation
B.Improved customer experience
C.Business intelligence
D.All of the above

25) Which machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions?

A. Supervised learning
B.Unsupervised learning
C.Reinforcement learning
D.All of the above

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