Which type of Machine Learning uses labeled training data to learn a mapping between inputs and outputs?

Options

  • A. Supervised Learning
  • B. Unsupervised Learning
  • C. Reinforcement Learning
  • D. Random Learning
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. Supervised Learning

Detailed Explanation

Supervised Learning uses labeled training data, where input examples are associated with known target outputs. The model learns the relationship between inputs and outputs and can then make predictions for new inputs. Classification and regression are common supervised learning tasks.

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