Imagine you need to classify documents but have only a few labeled examples. How would you leverage semi-supervised learning in this scenario?

  • Combine trial and error approaches
  • Use clustering exclusively
  • Utilize both labeled and unlabeled data
  • Utilize only the labeled data
In this scenario, Semi-Supervised Learning would leverage both the limited labeled examples and the abundant unlabeled data to create an effective classification model.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *