In a scenario where both input and output data are available but are not directly linked, which type of learning approach would be suitable to find the hidden patterns?

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Semi-Supervised Learning
Unsupervised Learning is the appropriate approach when you have input and output data that are not directly linked. It helps discover hidden patterns, clusters, or relationships within the data without labeled examples to guide the learning process.
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