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CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics

Pune-based FinServe Ltd trains a model to classify customer emails as 'complaint' or 'enquiry' using a dataset in which each email already carries a human-assigned label. Which learning paradigm is being used?

This is supervised learning, because the model is trained on emails that already carry human-assigned labels and learns to map new emails to those categories. Unsupervised learning uses unlabelled data, and reinforcement learning relies on rewards from an environment rather than labelled examples.

  1. AUnsupervised learning
  2. BSupervised learningCorrect
  3. CReinforcement learning
  4. DTransfer of control learning without data

Explanation

Because every training example has a known label supplied by humans, the model learns a mapping from input to label, which is supervised learning. Unsupervised learning would work on unlabelled data to find clusters. Reinforcement learning uses rewards from interaction with an environment, not labelled examples.

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