This is the last chapter of this book. We discussed the fundamental concepts and an implementation of two major use cases of text analytics in Mahout. Throughout this book, we discussed the major concepts of machine learning, its implementation, and its usage in Mahout. This will give you a strong foundation for building a career in data analytics. I hope this book fulfilled its objective of providing a kick start in machine learning and Mahout, and I hope you continue building on and improving your skills.
Learning Apache Mahout
Learning Apache Mahout
Overview of this book
Table of Contents (17 chapters)
Learning Apache Mahout
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction to Mahout
Core Concepts in Machine Learning
Feature Engineering
Classification with Mahout
Frequent Pattern Mining and Topic Modeling
Recommendation with Mahout
Clustering with Mahout
New Paradigm in Mahout
Case Study – Churn Analytics and Customer Segmentation
Case Study – Text Analytics
Index
Customer Reviews