What Is Semi-Supervised Learning
Semi-supervised learning is a learning problem that involves a small number of labeled examples and a large number of unlabeled examples.
Learning problems of this type are challenging as neither supervised nor unsupervised learning algorithms are able to make effective use of the mixtures of labeled and untellable data. As such, specialized semis-supervised learning algorithms are required.
In this tutorial, you will discover a gentle introduction to the field of semi-supervised learning for machine learning.
After completing this tutorial, you will know:
- Semi-supervised learning is a type of machine learning that sits between supervised and unsupervised learning.
- Top books on semi-supervised learning designed to get you up to speed in the field.
- Additional resources on semi-supervised learning, such as