svn commit: r1672944 - /mahout/site/mahout_cms/trunk/content/index.mdtext

[ak...@apache.org]

Author: akm
Date: Sat Apr 11 23:30:40 2015
New Revision: 1672944

URL: http://svn.apache.org/r1672944
Log:
Fixing typos on the home page for the 0.10.0 announcement

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=1672944&r1=1672943&r2=1672944&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sat Apr 11 23:30:40 2015
@@ -25,15 +25,15 @@
       <li>Naive Bayes Classification</li>
     </ul>
   </div>
-  <p>The three major components of Mahout are an environment for building scalable algorithms, many new Scala + Spark (H2O in progress) algorithms, and Mahouts mature Hadoop MapReduce algorithms.</p>
-  <p>**11 Apr 2015 - Apache Mahout's next generation version 0.1.10 released**</h5>
-  <p>**Apache Mahout would like to introduce a new math** [**environment we call Samsara**](http://mahout.apache.org/users/sparkbindings/home.html); for its symbol 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>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>
+  <h5>**11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released**</h5>
+  <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>[**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 10x speed increase. You’ll find robust matrix decomposition algorithms as well as a Naive Bayes classifier and collaborative filtering.</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>
 
   <p>**Mahout MapReduce** includes the best of Hadoop MapReduce algorithms from Mahout v 0.9 but now with dependency updates and full Hadoop 2 support.</p>
 
-  <p>With scalable we mean:</p>
+  <h5>By scalable we mean:</h5>
   <p>**Scalable to large data sets**. Our [core algorithms](http://mahout.apache.org/users/basics/algorithms.html) for clustering, classfication and collaborative filtering are implemented on top of scalable, distributed systems. However, contributions that run on a single machine are welcome as well.</p>
   <p>**Scalable to support your business case**. Mahout is distributed under a commercially friendly Apache Software
     license.</p>