Congratulations on finishing yet another chapter. What you learned in this chapter is crucial for several complex machine learning activities. All the algorithms discussed in this chapter give a view of the underlying principals from several given examples (also called training sets). These types of algorithms are broadly classified under supervised learning.
You learnt how to use K-NN, a logistic regression model, and a J48 decision tree to predict the class/tag of an unknown entry.
In the next chapter, you will learn how to find similar products or items using several information retrieval metrics.