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From apalu...@apache.org
Subject svn commit: r1672956 - /mahout/site/mahout_cms/trunk/content/index.mdtext
Date Sun, 12 Apr 2015 00:59:20 GMT
Author: apalumbo
Date: Sun Apr 12 00:59:20 2015
New Revision: 1672956

URL: http://svn.apache.org/r1672956
Log:
some cleanup

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=1672956&r1=1672955&r2=1672956&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sun Apr 12 00:59:20 2015
@@ -3,7 +3,7 @@
 </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>
+    <h4>Latest release version 0.10.0 has:</h4>
     <h6>Mahout Samsara Environment</h3>
     <ul>
       <li>Spark and H2O back end Bindings</li>
@@ -17,9 +17,9 @@
     </ul>
     <h6>Mahout Samsara based Algorithms</h6>
     <ul>
-      <li>Distributed and in-core: Stochastic Singular Value Decomposition (SSVD)</li>
+      <li>Distributed and in-core Stochastic Singular Value Decomposition (SSVD)</li>
       <li>Distributed Principal Component Analysis (PCA)</li>
-      <li>Distributed Cholesky QR Reduction (QR)</li>
+      <li>Distributed and in-core QR Reduction (QR)</li>
       <li>Distributed Alternating Least Squares (ALS) method</li>
       <li>Collaborative Filtering: Item and Row Similarity based on co-occurrence and
supporting multimodal user actions</li>
       <li>Naive Bayes Classification</li>
@@ -29,12 +29,12 @@
   <h4>**11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released**</h4>
   <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>
+  <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>
 
   <h4>By scalable we mean:</h4>
-  <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 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.</p>
   <p>**Scalable to support your business case**. Mahout is distributed under a commercially
friendly Apache Software
     license.</p>
   <p>**Scalable community**. The goal of Mahout is to build a vibrant, responsive,
diverse community to facilitate



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