Machine Learning MCQs with answers Page - 2

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📊 Machine Learning
Q. Neural networks
  • (A) optimize a convex cost function
  • (B) always output values between 0 and 1
  • (C) can be used for regression as well as classification
  • (D) all of the above
💬 Discuss
✅ Correct Answer: (C) can be used for regression as well as classification
📊 Machine Learning
Q. Reinforcement learning is particularly efficient when . . . . . . . .
  • (A) the environment is not completely deterministic
  • (B) it's often very dynamic
  • (C) it's impossible to have a precise error measure
  • (D) all above
💬 Discuss
✅ Correct Answer: (D) all above
📊 Machine Learning
Q. Which of the following statement is true about outliers in Linear regression?
  • (A) Linear regression is sensitive to outliers
  • (B) Linear regression is not sensitive to outliers
  • (C) Can't say
  • (D) None of these
💬 Discuss
✅ Correct Answer: (A) Linear regression is sensitive to outliers
📊 Machine Learning
Q. Naive Bayes classifiers is . . . . . . . . Learning
  • (A) Supervised
  • (B) Unsupervised
  • (C) Both
  • (D) None
💬 Discuss
✅ Correct Answer: (A) Supervised
📊 Machine Learning
Q. The distance between two points calculated using Pythagoras theorem is
  • (A) supremum distance
  • (B) eucledian distance
  • (C) linear distance
  • (D) manhattan distance
💬 Discuss
✅ Correct Answer: (B) eucledian distance
📊 Machine Learning
Q. Features being classified is independent of each other in Nave Bayes Classifier
  • (A) FALSE
  • (B) a set of data is used to discover the potentially predictive relationship.
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (B) a set of data is used to discover the potentially predictive relationship.
📊 Machine Learning
Q. What does learning exactly mean?
  • (A) robots are programed so that they can perform the task based on data they gather from sensors.
  • (B) the svm allows high amount of error in classification
  • (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.
💬 Discuss
✅ Correct Answer: (C) learning is the ability to change according to external stimuli and remembering most of all previous experiences.
📊 Machine Learning
Q. What do you mean by a hard margin?
  • (A) the svm allows very low error in classification
  • (B) improve the optimization algorithm being used for error minimization.
  • (C) both 1 & 2
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (A) the svm allows very low error in classification
📊 Machine Learning
Q. Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?
  • (A) increase the amount of traning data in each traning set
  • (B) unsupervised learning
  • (C) decrease the model complexity
  • (D) reduce the noise in the training data
💬 Discuss
✅ Correct Answer: (B) unsupervised learning
📊 Machine Learning
Q. The problem of finding hidden structure in unlabeled data is called . . . . . . . .
  • (A) supervised learning
  • (B) speech recognition, regression
  • (C) reinforcement learning
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (B) speech recognition, regression

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