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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.

Q. 1) 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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Q. 2) 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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Q. 3) In what type of learning labelled training data is used

(A) unsupervised learning
(B) supervised learning
(C) reinforcement learning
(D) active learning
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Q. 4) In following type of feature selection method we start with empty feature set

(A) forward feature selection
(B) backword feature selection
(C) both a and b??
(D) none of the above
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Q. 5) In PCA the number of input dimensiona are equal to principal components

(A) true
(B) false
(C) ---
(D) ---
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Q. 6) PCA can be used for projecting and visualizing data in lower dimensions.

(A) true
(B) false
(C) ---
(D) ---
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Q. 7) 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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Q. 8) What characterize unlabeled examples in machine learning

(A) there is no prior knowledge
(B) there is no confusing knowledge
(C) there is prior knowledge
(D) there is plenty of confusing knowledge
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Q. 9) What does dimensionality reduction reduce?

(A) stochastics
(B) collinerity
(C) performance
(D) entropy
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Q. 10) Data used to build a data mining model.

(A) training data
(B) validation data
(C) test data
(D) hidden data
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Machine Learning (ML) MCQs Set 1

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