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1. A mahout washes down his charge.

2. The mahout, as he gives a command, reinforces the order with leg pressure just as if riding a horse.

3. It probably depends on the mahout who rides and works them.

4. Mahout provides driver programs for all of the clustering algorithms, including the k-Means algorithm, aptly named the KMeansDriver.

5. Mahout currently supports two related approaches to categorizing/classifying content based on bayesian statistics.

6. Mahout contains implementations for clustering, categorization, CF, and evolutionary programming.

7. In your use of Mahout, you will likely want to try creating vectors in a variety of ways to see which yields the best results.

8. He bought him from the mahout, even though he didn't really own him.

9. The output from such a test in Mahout is a data structure called a confusion matrix.

10. Early one morning, Ladyface's mahout came to see him as usual.

11. Apache Mahout has come a long way in just over a year, with significant capabilities for clustering, categorization, and CF, but it also has plenty of room for growth.

12. Mahout currently provides tools for building a recommendation engine through the Taste library — a fast and flexible engine for CF.

13. Then I'll show you how to use Mahout to do some interesting machine-learning tasks using the freely available Wikipedia data set.

14. Apache Mahout is a new open source project by the Apache Software Foundation (ASF) with the primary goal of creating scalable machine-learning algorithms that are free to use under the Apache license.

15. She'd read that when an elephant has a wound, the mahout squirts chilli juice in its eyes by way of distraction.

16. The drawing was of an infuriated male elephant about the charge a little mahout or elephant driver.

17. I'll take a deeper look at each of these tasks at the conceptual level before exploring their implementations in Mahout.

18. I'll focus on the two most commonly used ones — supervised and unsupervised learning — because they are the main ones supported by Mahout.

19. You'll find more information on choosing a similarity measure at the Mahout Web site (see Resources).

20. The next time you have a need to cluster, categorize, or recommend content, especially at large scale, give Apache Mahout a look.

21. The final results are stored in a single file labeled with the category name, one document per line, which is the input format that Mahout expects.

22. The elephant, his mind filled with the night's robber - talk, suddenly attacked his mahout.

23. However, for this article, I'll show only the Naive Bayes approach, because it demonstrates the overall problem and inputs in Mahout.

23. Sentencedict.com is a online sentence dictionary, on which you can find nice sentences for a large number of words.

24. Therein lies the premise and the promise of the field of machine learning and the project this article introduces: Apache Mahout (see Resources).

25. After giving a brief overview of machine-learning concepts, I'll introduce you to the Apache Mahout project's features, history, and goals.