Machine Learning MCQs with answers Page - 7

Here, you will find a collection of MCQ questions on Machine Learning. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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

  • (A) artificial intelligence
  • (B) rule based inference
  • (C) both a and b
  • (D) none of the mentioned

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Q. Which are two techniques of Machine Learning ?

  • (A) Genetic Programming and Inductive Learning
  • (B) Speech recognition and Regression
  • (C) Both A and B
  • (D) None of the Mentioned

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Q. 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. Which learning Requires Self Assessment to identify patterns within data?

  • (A) unsupervised learning
  • (B) supervised learning
  • (C) semisupervised learning
  • (D) reinforced learning

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Q. The linear SVM classifier works by drawing a straight line between two classes

  • (A) TRUE
  • (B) 2 and 3
  • (C) ---
  • (D) ---

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Q. In which of the following cases will K-Means clustering fail to give good results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes

  • (A) 1 and 2
  • (B) knowledge developer r
  • (C) 2 and 4
  • (D) 1, 2 and 4

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Q. A person trained to interact with a human expert in order to capture their knowledge.

  • (A) knowledge programmer
  • (B) dataset
  • (C) knowledge engineer
  • (D) knowledge extractor

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Q. In many classification problems, the target . . . . . . . . is made up of categorical labels which cannot immediately be processed by any algorithm.

  • (A) random_state
  • (B) kernel based principal component analysis
  • (C) test_size
  • (D) All above

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Q. What is PCA, KPCA and ICA used for?

  • (A) principal components analysis
  • (B) 2 and 3
  • (C) independent component analysis
  • (D) all above

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