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Which of the following is an example of unsupervised learning?

  1. ADividing customers into several groups with similar buying patterns, using only their purchase histories
  2. BPredicting equipment failures from sensor values, using past records of whether failures occurred as the correct answers
  3. CLearning how to choose moves in a game so that the reward obtained by trial and error becomes large
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Answer: A. Dividing customers into several groups with similar buying patterns, using only their purchase histories

Unsupervised learning finds groupings or structure in data that has no correct-answer labels. Typical examples are clustering, which divides similar data into groups, and dimensionality reduction, which represents data with fewer variables. Predicting with the correct answer of whether a failure occurred is supervised learning, and learning actions from rewards is reinforcement learning.

  • A. Correct. This is clustering, which finds groups without using correct-answer labels, so it is unsupervised learning.
  • B. It uses correct-answer labels (whether a failure occurred), so it is supervised learning (classification).
  • C. It learns how to choose actions from rewards, so it is reinforcement learning.
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More Machine Learning Basics questions

  1. Which of the following describes reinforcement learning?
  2. Which of the following describes the procedure of clustering with k-means (k-means clustering)?
  3. Which of the following describes principal component analysis (PCA)?
  4. When data is split into training, validation and test sets, which of the following is the main use of the validation set?
  5. When 5-fold cross-validation (k-fold cross-validation with k = 5) is performed on 1000 data points, how many data points are used for each round of training?