Machine Learning (ML) MCQs | Page - 61

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 • 97.30K Points
Coach

Q. What is/are true about kernel in SVM?1. Kernel function map low dimensional data to high dimensional space2. It’s a similarity function

  • (A) 1
  • (B) 2
  • (C) 1 and 2
  • (D) None of these
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M

Mr. Dubey • 97.30K Points
Coach

Q. Suppose you are building a SVM model on data X. The data X can be error prone which means that you should not trust any specific data point too much. Now think that you want to build a SVM model which has quadratic kernel function of polynomial degree 2 that uses Slack variable C as one of it’s hyper parameter.What would happen when you use very small C (C~0)?

  • (A) Misclassification would happen
  • (B) Data will be correctly classified
  • (C) Can’t say
  • (D) None of these
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M

Mr. Dubey • 97.30K Points
Coach

Q. How do you handle missing or corrupted data in a dataset?

  • (A) a. Drop missing rows or columns
  • (B) b. Replace missing values with mean/median/mode
  • (C) c. Assign a unique category to missing values
  • (D) d. All of the above
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M

Mr. Dubey • 97.30K Points
Coach

Q. If there is only a discrete number of possible outcomes called _____.

  • (A) Modelfree
  • (B) Categories
  • (C) Prediction
  • (D) None of above
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M

Mr. Dubey • 97.30K Points
Coach

Q. Some people are using the term ___ instead of prediction only to avoid the weird idea that machine learning is a sort of modern magic.

  • (A) Inference
  • (B) Interference
  • (C) Accuracy
  • (D) None of above
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M

Mr. Dubey • 97.30K Points
Coach

Q. The term _____ can be freely used, but with the same meaning adopted in physics or system theory.

  • (A) Accuracy
  • (B) Cluster
  • (C) Regression
  • (D) Prediction
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M

Mr. Dubey • 97.30K Points
Coach

Q. Common deep learning applications / problems can also be solved using____

  • (A) Real-time visual object identification
  • (B) Classic approaches
  • (C) Automatic labeling
  • (D) Bio-inspired adaptive systems
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M

Mr. Dubey • 97.30K 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) Find interesting directions in data and find novel observations/ database cleaning
  • (C) Interesting coordinates and correlations
  • (D) All
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M

Mr. Dubey • 97.30K Points
Coach

Q. 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 increase
2. R-Squared increases and Adjusted R-squared decreases
3. R-Squared decreases and Adjusted R-squared decreases
4. R-Squared decreases and Adjusted R-squared increases

  • (A) 1 and 2
  • (B) 1 and 3
  • (C) 2 and 4
  • (D) None of the above
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M

Mr. Dubey • 97.30K Points
Coach

Q. We can also compute the coefficient of linear regression with the help of an analytical method called “Normal Equation”. Which of the following is/are true about “Normal Equation”?
1. We don’t have to choose the learning rate
2. It becomes slow when number of features is very large
3. No need to iterate

  • (A) 1 and 2
  • (B) 1 and 3.
  • (C) 2 and 3.
  • (D) 1,2 and 3.
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