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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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Mr. Dubey • 51.43K Points
Coach

Q. 401) Solving a non linear separation problem with a hard margin Kernelized SVM (Gaussian RBF Kernel) might lead to overfitting

(A) true

(B) false

(C) ---

(D) ---

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M

Mr. Dubey • 51.43K Points
Coach

Q. 402) SVM is a algorithm

(A) classification

(B) clustering

(C) regression

(D) all

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Mr. Dubey • 51.43K Points
Coach

Q. 403) SVM is a learning

(A) supervised

(B) unsupervised

(C) both

(D) none

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Mr. Dubey • 51.43K Points
Coach

Q. 404) The linearSVMclassifier works by drawing a straight line between two classes

(A) true

(B) false

(C) ---

(D) ---

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Mr. Dubey • 51.43K Points
Coach

Q. 405) Which of the following function provides unsupervised prediction ?

(A) cl_forecastb

(B) cl_nowcastc

(C) cl_precastd

(D) none of the mentioned

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Mr. Dubey • 51.43K Points
Coach

Q. 406) Which of the following is characteristic of best machine learning method ?

(A) fast

(B) accuracy

(C) scalable

(D) all above

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Mr. Dubey • 51.43K Points
Coach

Q. 407) 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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Mr. Dubey • 51.43K Points
Coach

Q. 408) What is the standard approach to supervised learning?

(A) split the set of example into the training set and the test

(B) group the set of example into the training set and the test

(C) a set of observed instances tries to induce a general rule

(D) learns programs from data

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Mr. Dubey • 51.43K Points
Coach

Q. 409) Which of the following is not Machine Learning?

(A) artificial intelligence

(B) rule based inference

(C) both a & b

(D) none of the mentioned

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Mr. Dubey • 51.43K Points
Coach

Q. 410) What is Model Selection in Machine Learning?

(A) the process of selecting models among different mathematical models, which are used to describe the same data set

(B) when a statistical model describes random error or noise instead of underlying relationship

(C) find interesting directions in data and find novel observations/ database cleaning

(D) all above

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