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Dear candidates you will find MCQ questions of Machine Learning (ML) 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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Q. 411) Which are two techniques of Machine Learning ?

(A) genetic programming and inductive learning
(B) speech recognition and regression
(C) both a & b
(D) none of the mentioned
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Q. 412) Even if there are no actual supervisors                learning is also based on feedback provided by the environment

(A) supervised
(B) reinforcement
(C) unsupervised
(D) none of the above
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Q. 413) What does learning exactly mean?

(A) robots are programed so that they can perform the task based on data they gather from sensors.
(B) a set of data is used to discover the potentially predictive relationship.
(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.
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Mr. Dubey • 51.43K Points
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Q. 414) 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
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Mr. Dubey • 51.43K Points
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Q. 415) Techniques involve the usage of both labeled and unlabeled data is called     .

(A) supervised
(B) semi-supervised
(C) unsupervised
(D) none of the above
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Mr. Dubey • 51.43K Points
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Q. 416) Which of the following assumptions do we make while deriving linear regression parameters?1. The true relationship between dependent y and predictor x is linear2. The model errors are statistically independent3. The errors are normally distributed with a 0 mean and constant standard deviation4. The predictor x is non-stochastic and is measured error-free

(A) 1,2 and 3.
(B) 1,3 and 4.
(C) 1 and 3.
(D) all of above.
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Mr. Dubey • 51.43K Points
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Q. 417) To test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?

(A) scatter plot
(B) barchart
(C) histograms
(D) none of these
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Mr. Dubey • 51.43K Points
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Q. 418) which of the following step / assumption in regression modeling impacts the trade- off between under-fitting and over-fitting the most.

(A) the polynomial degree
(B) whether we learn the weights by matrix inversion or gradient descent
(C) ---
(D) ---
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Q. 419) Can we calculate the skewness of variables based on mean and median?

(A) true
(B) false
(C) ---
(D) ---
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Mr. Dubey • 51.43K Points
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Q. 420) Which of the following statement(s) can be true post adding a variable in a linear regression model?1. R-Squared and Adjusted R-squared both increase2. R- Squared increases and Adjusted R-

(A) 1 and 2
(B) 1 and 3
(C) 2 and 4
(D) none of the above
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