Hands-On Artificial Intelligence with Java for Beginners

Semi-Supervised and Unsupervised Learning

In this chapter, we'll look at how to build and evaluate an unsupervised model. We'll also look at semi-supervised learning, the difference between unsupervised and semi-supervised learning, how to build a semi-supervised model, and how to make predictions using a semi-supervised model.

In this chapter, we'll cover the following topics:

• Working with k-means clustering
• Evaluating a clustering model
• Distance matrix formation using cosine similarity
• The difference between unsupervised and semi-supervised learning
• Self-training and co-training machine learning models
• Making predictions with semi-supervised machine learning models