Mahout in action 目录

1.  初识Mahout




对应英文版:


1. Meet Apache Mahout

 

Part 1 Recommendations

2. Introducing recommenders

3. Representing data 

4. Making recommendations

5. Taking recommenders to production

6. Distributing recommendation computations

 

Part 2 Clustering

7. Introduction to clustering

8. Representing data

9. Clustering algorithms in Mahout

10. Evaluating clustering quality

11. Taking clustering to production

12. Real-world applications of clustering

 

Part 3 Classification

13. Introduction to classification

14. Training a classifier

15. Evaluating and tuning a classifier

16. Deploying a classifier

17. Case study: Shop it To Me

 

Appendices

A. JVM tuning

B. Mahout math

C. Resources


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