What is semi-supervised learning? How does it work?
Semi-Supervised Learning is a machine learning approach that uses a small amount of labeled data combined with a large amount of unlabeled data to train models. Unlike supervised learning, which relies entirely on labeled datasets, and unsupervised learning, which uses none, semi-supervised learning sits in the middle. The post What is semi-supervised learning? How does it work? appeared first on Great Learning Blog: Free Resources what Matters to shape your Career!.

Semi-Supervised Learning is a machine learning approach that uses a small amount of labeled data combined with a large amount of unlabeled data to train models. Unlike supervised learning, which relies entirely on labeled datasets, and unsupervised learning, which uses none, semi-supervised learning sits in the middle.
The post What is semi-supervised learning? How does it work? appeared first on Great Learning Blog: Free Resources what Matters to shape your Career!.