Chapter 7. Real-time Machine Learning

In this chapter, we will cover:

  • Implementing a transactional topology
  • Creating a Random Forest classification model using R
  • Operational classification of transactional streams using Random Forest
  • Creating an association rules model in R
  • Creating a recommendation engine
  • Real-time online machine learning

Introduction

We have explored how Storm fits into a Big Data architecture as the real-time layer. A key use case for Big Data solutions involves the enabling of data science. We have seen some basic data science already through the implementation of some basic analysis of term frequencies, both in real time and batch. When analyzing data, there are both operational and insights components to the process. The operational ...

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