In this chapter, we discussed two important application areas of machine learning, frequent pattern mining using the FP Growth algorithm, and topic modeling using LDA. These are two very important toolkits for any machine learning practitioner and using these two, many real-life problems can be solved. Both frequent pattern mining and topic modeling are used extensively for exploratory analysis and to gain additional insights.
In the next chapter, we are going to discuss the recommender system built using collaborative filtering. The recommender system is the most popular and mature functionality of Mahout.
