In the previous chapter, we reviewed the key Java libraries that are used for machine learning and what they bring to the table. In this chapter, we will finally get our hands dirty. We will take a closer look at the basic machine learning tasks, such as classification, regression, and clustering. Each of the topics will introduce basic algorithms for classification, regression, and clustering. The example datasets will be small, simple, and easy to understand.
The following topics will be covered in this chapter:
- Loading data
- Filtering attributes
- Building classification, regression, and clustering models
- Evaluating models
