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From a..@apache.org
Subject svn commit: r1672946 - /mahout/site/mahout_cms/trunk/content/index.mdtext
Date Sat, 11 Apr 2015 23:34:17 GMT
Author: akm
Date: Sat Apr 11 23:34:17 2015
New Revision: 1672946

URL: http://svn.apache.org/r1672946
Log:
Minor edit

Modified:
    mahout/site/mahout_cms/trunk/content/index.mdtext

Modified: mahout/site/mahout_cms/trunk/content/index.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/index.mdtext?rev=1672946&r1=1672945&r2=1672946&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sat Apr 11 23:34:17 2015
@@ -27,7 +27,7 @@
   </div>
   <p>The three major components of Mahout are an environment for building scalable
algorithms, many new Scala + Spark (H2O in progress) algorithms, and Mahout's mature Hadoop
MapReduce algorithms.</p>
   <h4>**11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released**</h4>
-  <p>**Apache Mahout would like to introduce a new math** [**environment we call Samsara**](http://mahout.apache.org/users/sparkbindings/home.html),
for its theme of universal renewal. It reflects a fundamental rethinking of how scalable machine
learning algorithms are built and customized. Mahout-Samsara is here to help people create
their own math while providing some off-the-shelf algorithm implementations. At its base are
general linear algebra and statistical operations along with the data structures to support
them. It’s written in Scala with Mahout-specific extensions, and runs most fully on Spark.</p>
+  <p>**Apache Mahout introduces a new math** [**environment we call Samsara**](http://mahout.apache.org/users/sparkbindings/home.html),
for its theme of universal renewal. It reflects a fundamental rethinking of how scalable machine
learning algorithms are built and customized. Mahout-Samsara is here to help people create
their own math while providing some off-the-shelf algorithm implementations. At its base are
general linear algebra and statistical operations along with the data structures to support
them. It’s written in Scala with Mahout-specific extensions, and runs most fully on Spark.</p>
 
   <p>[**Mahout Algorithms**](http://mahout.apache.org/users/basics/algorithms.html)
include many new implementations built for speed on Mahout-Samsara. They run on Spark and
some on H2o, which means as much as a 10x speed increase. You’ll find robust matrix decomposition
algorithms as well as a Naive Bayes classifier and collaborative filtering.</p>
 



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