svn commit: r1672941 - /mahout/site/mahout_cms/trunk/content/index.mdtext

[apalumbo]

Author: apalumbo
Date: Sat Apr 11 22:45:41 2015
New Revision: 1672941

URL: http://svn.apache.org/r1672941
Log:
add in new discription of what mahout is

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=1672941&r1=1672940&r2=1672941&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sat Apr 11 22:45:41 2015
@@ -1,5 +1,6 @@
 <h1>What is Apache Mahout?</h1>
-<h2>The Apache Mahout™ project's goal is to build a scalable machine 
learning library.</h2>
+<h2>The Apache Mahout™ project's goal is to build an environment for quickly 
creating scalable preformant machine learning applications.
+</h2>
   <div class="highlights">
     <a href="http://mahout.apache.org/general/downloads.html";><img 
src="http://mahout.apache.org/images/download-mahout.png"/></a>
     <h4>Latest release version 0.10.0 has</h4>
@@ -24,6 +25,14 @@
       <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>
+  <h5> **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>[**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 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>
   <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