Supervised & Unsupervised Learning › Semi-Supervised Learning
How does Semi-Supervised Learning work
BeginnerAnswer
The model first learns patterns from the limited labeled examples, then uses that knowledge to make reasonable guesses about the unlabeled data, gradually improving with both sources combined.
Real-world example A company with only a few hundred labeled customer reviews uses semi supervised learning to also benefit from thousands of unlabeled reviews.