Introduction

In Chapter 4, Learn from Data - Part 1, we used the Weka machine learning workbench for different recipes for classification, clustering, association rule mining, feature selection, and so on. We also mentioned in that chapter that Weka is not the only tool that is written in Java to learn patterns from data. There are other tools that can perform similar tasks. Examples of such tools include but are not limited to Java Machine Learning (Java-ML) library, Massive Online Analysis (MOA), and Stanford machine learning libraries.

In this chapter, we will be focusing on bits and pieces of these other tools to conduct machine learning analysis on data.