πŸ“Š Machine Learning (ML)
Q. The problem of finding hidden structure in unlabeled data is called…
  • (A) supervised learning
  • (B) unsupervised learning
  • (C) reinforcement learning
  • (D) none of the above
πŸ’¬ Discuss
βœ… Correct Answer: (B) unsupervised learning
πŸ“Š Machine Learning (ML)
Q. Of the Following Examples, Which would you address using an supervised learning Algorithm?
  • (A) given email labeled as spam or not spam, learn a spam filter
  • (B) given a set of news articles found on the web, group them into set of articles about the same story.
  • (C) given a database of customer data, automatically discover market segments and group customers into different market segments.
  • (D) find the patterns in market basket analysis
πŸ’¬ Discuss
βœ… Correct Answer: (A) given email labeled as spam or not spam, learn a spam filter
πŸ“Š Machine Learning (ML)
Q. Dimensionality Reduction Algorithms are one of the possible ways to reduce the computation time required to build a model
  • (A) true
  • (B) false
  • (C) ---
  • (D) ---
πŸ’¬ Discuss
βœ… Correct Answer: (A) true
πŸ“Š Machine Learning (ML)
Q. You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
  • (A) supervised learning
  • (B) unsupervised learning
  • (C) semisupervised learning
  • (D) reinforcement learning
πŸ’¬ Discuss
βœ… Correct Answer: (A) supervised learning
πŸ“Š Machine Learning (ML)
Q. Which of the following is a good test dataset characteristic?
  • (A) large enough to yield meaningful results
  • (B) is representative of the dataset as a whole
  • (C) both a and b
  • (D) none of the above
πŸ’¬ Discuss
βœ… Correct Answer: (C) both a and b
πŸ“Š Machine Learning (ML)
Q. Following are the types of supervised learning
  • (A) classification
  • (B) regression
  • (C) subgroup discovery
  • (D) all of the above
πŸ’¬ Discuss
βœ… Correct Answer: (D) all of the above
πŸ“Š Machine Learning (ML)
Q. Type of matrix decomposition model is
  • (A) descriptive model
  • (B) predictive model
  • (C) logical model
  • (D) none of the above
πŸ’¬ Discuss
βœ… Correct Answer: (A) descriptive model
πŸ“Š Machine Learning (ML)
Q. Following is powerful distance metrics used by Geometric model
  • (A) euclidean distance
  • (B) manhattan distance
  • (C) both a and b??
  • (D) square distance
πŸ’¬ Discuss
βœ… Correct Answer: (C) both a and b??
πŸ“Š Machine Learning (ML)
Q. The output of training process in machine learning is
  • (A) machine learning model
  • (B) machine learning algorithm
  • (C) null
  • (D) accuracy
πŸ’¬ Discuss
βœ… Correct Answer: (A) machine learning model
πŸ“Š Machine Learning (ML)
Q. A feature F1 can take certain value: A, B, C, D, E, & F and represents grade of students from a college. Here feature type is
  • (A) nominal
  • (B) ordinal
  • (C) categorical
  • (D) boolean
πŸ’¬ Discuss
βœ… Correct Answer: (B) ordinal

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