svn commit: r945977 - in /websites/staging/mahout/trunk/content: ./ users/basics/quickstart.html

[bu...@apache.org]

Author: buildbot
Date: Wed Apr  1 17:09:40 2015
New Revision: 945977

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/basics/quickstart.html

Propchange: websites/staging/mahout/trunk/content/
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+++ cms:source-revision Wed Apr  1 17:09:40 2015
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Modified: websites/staging/mahout/trunk/content/users/basics/quickstart.html
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--- websites/staging/mahout/trunk/content/users/basics/quickstart.html (original)
+++ websites/staging/mahout/trunk/content/users/basics/quickstart.html Wed Apr  1 17:09:40 2015
@@ -269,13 +269,13 @@ If you would like to import the latest r
 <h2 id="using-mahout">Using Mahout</h2>
 <p>Mahout has prepared a bunch of examples and tutorials for users to quickly learn how to use its machine learning algorithms.</p>
 <h4 id="recommendations">Recommendations</h4>
-<p>Check the <a href="/users/mapreduce/recommender/quickstart.html">Recommender Quickstart</a> or the tutorial on <a href="/users/recommender/userbased-5-minutes.html">creating a userbased recommender in 5 minutes</a>.</p>
+<p>Check the <a href="/users/recommender/quickstart.html">Recommender Quickstart</a> or the tutorial on <a href="/users/recommender/userbased-5-minutes.html">creating a userbased recommender in 5 minutes</a>.</p>
 <p>If you are building a recommender system for the first time, please also refer to a list of <a href="/users/recommender/recommender-first-timer-faq.html">Dos and Don'ts</a> that might be helpful.</p>
 <h4 id="clustering">Clustering</h4>
-<p>Check the <a href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic data</a> example.</p>
+<p>Check the <a href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic data</a> example.</p>
 <h4 id="classification">Classification</h4>
-<p>If you are interested in how to train a <strong>Naive Bayes</strong> model, look at the <a href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups</a> example.</p>
-<p>If you plan to build a <strong>Hidden Markov Model</strong> for speech recognition, the example <a href="/users/mapreduce/classification/hidden-markov-models.html">here</a> might be instructive. </p>
+<p>If you are interested in how to train a <strong>Naive Bayes</strong> model, look at the <a href="/users/classification/twenty-newsgroups.html">20 newsgroups</a> example.</p>
+<p>If you plan to build a <strong>Hidden Markov Model</strong> for speech recognition, the example <a href="/users/classification/hidden-markov-models.html">here</a> might be instructive. </p>
 <p>Or you could build a <strong>Random Forest</strong> model by following this <a href="/users/mapreduce/classification/partial-implementation.html">quick start page</a>.</p>
 <h4 id="working-with-text">Working with Text</h4>
 <p>If you need to convert raw text into word vectors as input to clustering or classification algorithms, please refer to this page on <a href="/users/basics/creating-vectors-from-text.html">how to create vectors from text</a>.</p>