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Machine Learning MCQs with answers Page - 3

Dear candidates you will find MCQ questions of Machine Learning here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Mr. Dubey • 51.17K Points
Coach

Q. What does learning exactly mean?

(A) robots are programed so that they can perform the task based on data they gather from sensors.
(B) the svm allows high amount of error in classification
(C) learning is the ability to change according to external stimuli and remembering most of all previous experiences.
(D) it is a set of data is used to discover the potentially predictive relationship.

M

Mr. Dubey • 51.17K Points
Coach

Q. What do you mean by a hard margin?

(A) the svm allows very low error in classification
(B) improve the optimization algorithm being used for error minimization.
(C) both 1 & 2
(D) none of the above

M

Mr. Dubey • 51.17K Points
Coach

Q. Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?

(A) increase the amount of traning data in each traning set
(B) unsupervised learning
(C) decrease the model complexity
(D) reduce the noise in the training data

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Mr. Dubey • 51.17K Points
Coach

Q. The problem of finding hidden structure in unlabeled data is called . . . . . . . .

(A) supervised learning
(B) speech recognition, regression
(C) reinforcement learning
(D) none of the above

M

Mr. Dubey • 51.17K Points
Coach

Q. what is the function of 'Supervised Learning'?

(A) classifications, predict time series, annotate strings
(B) 2 and 3
(C) both a and b
(D) none of above

M

Mr. Dubey • 51.17K Points
Coach

Q. Suppose you are training a linear regression model. Now consider these points.
1. Overfitting is more likely if we have less data
2. Overfitting is more likely when the hypothesis space is small.Which of the above statement(s) are correct?

(A) both are false
(B) 1 is false and 2 is true
(C) 1 is true and 2 is false
(D) both are true

M

Mr. Dubey • 51.17K Points
Coach

Q. Gini index does not favour equal sized partitions.

(A) TRUE
(B) Find interesting directions in data and find novel observations/ database cleaning
(C) ---
(D) ---

M

Mr. Dubey • 51.17K Points
Coach

Q. what is the function of 'Unsupervised Learning'?

(A) Find clusters of the data and find low-dimensional representations of the data
(B) boosting
(C) Interesting coordinates and correlations
(D) All

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