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Mahout in Action
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Mahout in Action
by Ellen Friedman, Ted Dunning, Robin Anil, Sean Owen
Mahout in Action
Copyright
Brief Table of Contents
Table of Contents
Preface
Acknowledgments
About this Book
About Multimedia Extras
About the Cover Illustration
Chapter 1. Meet Apache Mahout
Part 1. Recommendations
Chapter 2. Introducing recommenders
Chapter 3. Representing recommender data
Chapter 4. Making recommendations
Chapter 5. Taking recommenders to production
Chapter 6. Distributing recommendation computations
Part 2. Clustering
Chapter 7. Introduction to clustering
Chapter 8. Representing data
Chapter 9. Clustering algorithms in Mahout
Chapter 10. Evaluating and improving clustering quality
Chapter 11. Taking clustering to production
Chapter 12. Real-world applications of clustering
Part 3. Classification
Chapter 13. Introduction to classification
Chapter 14. Training a classifier
Chapter 15. Evaluating and tuning a classifier
Chapter 16. Deploying a classifier
Chapter 17. Case study: Shop It To Me
Appendix A. JVM tuning
Appendix B. Mahout math
Appendix C. Resources
Index
List of Figures
List of Tables
List of Listings
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Mahout in Action
Sean Owen, Robin Anil, Ted Dunning & Ellen Friedman
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