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From "Marcos Ortiz (Confluence)" <conflue...@apache.org>
Subject [CONF] Apache Mahout > Books Tutorials and Talks
Date Fri, 09 Aug 2013 14:42:01 GMT
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    <h2><a href="https://cwiki.apache.org/confluence/display/MAHOUT/Books+Tutorials+and+Talks">Books
Tutorials and Talks</a></h2>
    <h4>Page <b>edited</b> by             <a href="https://cwiki.apache.org/confluence/display/~marcosluis2186@gmail.com">Marcos
Ortiz</a>
    </h4>
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                         <h4>Changes (1)</h4>
                                 
    
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            <tr><td class="diff-snipped" >...<br></td></tr>
            <tr><td class="diff-unchanged" >*Let&#39;s keep these in reverse
chronological order, so that most recent talks are at the top* <br> <br></td></tr>
            <tr><td class="diff-changed-lines" >* [Introduction to Mahout and
Machine Learning|http://www.slideshare.net/VaradMeru/introduction-to-mahout-and-machine-learning]
\- Slides by <span class="diff-deleted-words"style="color:#999;background-color:#fdd;text-decoration:line-through;">Varun</span>
<span class="diff-added-words"style="background-color: #dfd;">Varad</span> Meru,
Software Development Engineer at Orzota. July 27th, 2013. <br></td></tr>
            <tr><td class="diff-unchanged" >* [How to build a recommender system
based on Mahout and JavaEE|https://github.com/ManuelB/facebook-recommender-demo/raw/master/docs/Talk-BedCon-Berlin-2012.pdf]
\- Slides by Manuel Blechschmidt at Berlin Expert Days March, 2012. <br>* [Apache Mahout
for intelligent data analysis|http://lanyrd.com/2011/apachecon-north-america/skdtb/] \- Slides
from Isabel Drost at Apache Con NA November, 2011. <br></td></tr>
            <tr><td class="diff-snipped" >...<br></td></tr>
    
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<ul>
    <li><a href='#BooksTutorialsandTalks-Intro'>Intro</a></li>
    <li><a href='#BooksTutorialsandTalks-BackgroundMaterial'>Background Material</a></li>
    <li><a href='#BooksTutorialsandTalks-Books'>Books</a></li>
    <li><a href='#BooksTutorialsandTalks-News%2CArticlesandTutorials'>News, Articles
and Tutorials</a></li>
    <li><a href='#BooksTutorialsandTalks-Links'>Links</a></li>
    <li><a href='#BooksTutorialsandTalks-Coursework%2FLectures'>Coursework/Lectures</a></li>
    <li><a href='#BooksTutorialsandTalks-Talks'>Talks</a></li>
</ul></div>

<h1><a name="BooksTutorialsandTalks-Intro"></a>Intro</h1>

<p>This page is a place to put links to info about talks (past and upcoming), tutorials,
articles, books, slides, PDFs, discussions, etc. about Mahout, Machine Learning and related
technologies.  No endorsements are implied or given.  Please keep all listings in alphabetical
order within each section.</p>

<h1><a name="BooksTutorialsandTalks-BackgroundMaterial"></a>Background Material</h1>

<ul>
	<li><a href="/confluence/display/MAHOUT/Reference+Reading" title="Reference Reading">Reference
Reading</a></li>
</ul>


<h1><a name="BooksTutorialsandTalks-Books"></a>Books</h1>

<ul>
	<li><a href="http://www.manning.com/owen/" class="external-link" rel="nofollow">Mahout
in Action</a> &#45; Book by Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman
published Oct 2011 by Manning Publications.</li>
	<li><a href="http://www.manning.com/ingersoll/" class="external-link" rel="nofollow">Taming
Text</a> &#45; By Grant Ingersoll and Tom Morton, published by Manning Publications.
 Will have some Mahout coverage, but by no means as complete as Mahout in Action.</li>
	<li><a href="http://www.cs.waikato.ac.nz/~ml/weka/book.html" class="external-link"
rel="nofollow">Data Mining: Practical Machine Learning Tools and Techniques</a></li>
	<li><a href="http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/ref=pd_bbs_sr_1/104-1017533-9408723?ie=UTF8&amp;s=books&amp;qid=1214593516&amp;sr=1-1"
class="external-link" rel="nofollow">Programming Collective Intelligence</a></li>
	<li><a href="http://www.amazon.com/Collective-Intelligence-Action-Satnam-Alag/dp/1933988312/ref=pd_bbs_sr_3?ie=UTF8&amp;s=books&amp;qid=1214545249&amp;sr=1-3"
class="external-link" rel="nofollow">Collective Intelligence in Action</a></li>
	<li><a href="http://www.amazon.com/Machine-Learning-Mcgraw-Hill-International-Edit/dp/0071154671/ref=pd_bbs_sr_1?ie=UTF8&amp;s=books&amp;qid=1214593709&amp;sr=8-1"
class="external-link" rel="nofollow">Machine Learning</a></li>
	<li><a href="http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=pd_bbs_sr_2?ie=UTF8&amp;s=books&amp;qid=1214593709&amp;sr=8-2"
class="external-link" rel="nofollow">Pattern Recognition and Machine Learning (Information
Science and Statistics) </a></li>
	<li><a href="http://www-csli.stanford.edu/~hinrich/information-retrieval-book.html"
class="external-link" rel="nofollow">Introduction to Information Retrieval</a></li>
	<li><a href="http://www.inference.phy.cam.ac.uk/itprnn/book.html" class="external-link"
rel="nofollow">Information Theory, Inference, and Learning Algorithms by David MacKay</a></li>
	<li><a href="http://www.amazon.com/Text-Mining-Application-Programming/dp/1584504609"
class="external-link" rel="nofollow">Text Mining Application Programming </a></li>
	<li><a href="http://www.amazon.com/Algorithms-Intelligent-Web-Haralambos-Marmanis/dp/1933988665/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1298005918&amp;sr=1-1"
class="external-link" rel="nofollow">Algorithms of the Intelligent Web</a></li>
</ul>


<h1><a name="BooksTutorialsandTalks-News%2CArticlesandTutorials"></a>News,
Articles and Tutorials</h1>

<ul>
	<li><a href="http://www.ibm.com/developerworks/java/library/j-mahout-scaling/" class="external-link"
rel="nofollow">Apache Mahout: Scalable Machine Learning for Everyone</a></li>
	<li><a href="http://www.acunu.com/blogs/sean-owen/scaling-cassandra-and-mahout-hadoop/"
class="external-link" rel="nofollow">Scaling up Cassandra and Mahout with Hadoop</a></li>
	<li><a href="http://www.acunu.com/blogs/sean-owen/recommending-cassandra/" class="external-link"
rel="nofollow">Recommending (from) Cassandra</a></li>
	<li><a href="http://emmaespina.wordpress.com/2011/04/26/ham-spam-and-elephants-or-how-to-build-a-spam-filter-server-with-mahout/"
class="external-link" rel="nofollow">How to build a spam filter server with Mahout</a>
&#45; Applying classification on a live server - April 2011</li>
	<li><a href="http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/"
class="external-link" rel="nofollow">Deploying a massively scalable recommender system
with Apache Mahout</a> &#45; Blogpost of Sebastian Schelter in April 2011</li>
	<li><a href="http://www.redmonk.com/cote/2010/11/04/makeall013/" class="external-link"
rel="nofollow">Apache Mahout &amp; the commoditization of machine learning </a>
&#45; Podcast interview with Grant Ingersoll at ApacheCon 2010</li>
	<li><a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf" class="external-link"
rel="nofollow">Apache Mahout 0.4 mit neuen Algorithmen</a> &#45; published after
the 0.4 release by heise Open/ Developer, November 2010</li>
	<li><a href="http://www.infoq.com/news/2009/04/mahout" class="external-link" rel="nofollow">Mahout
on InfoQ</a> &#45; Interview with Grant Ingersoll on InfoQ</li>
	<li><a href="http://www.cloudera.com/blog/2009/04/21/hadoop-uk-user-group-meeting/"
class="external-link" rel="nofollow">Mahout in the Cloudera weblog</a> &#45;
published after the Hadoop user group UK.</li>
	<li><a href="http://blog.athico.com/2008/08/machine-learning-and-apache-mahout.html"
class="external-link" rel="nofollow">Mahout in the Drools weblog</a> &#45; Michael
Neale published an article on Mahout in the drools weblog</li>
	<li><a href="https://www.ibm.com/developerworks/java/library/j-mahout/index.html"
class="external-link" rel="nofollow">Introducing Apache Mahout</a> &#45; Grant
Ingersoll - Intro to Apache Mahout focused on clustering, classification and collaborative
filtering.<br/>
Japanese translation available at: <a href="http://www.ibm.com/developerworks/jp/java/library/j-mahout/"
class="external-link" rel="nofollow">http://www.ibm.com/developerworks/jp/java/library/j-mahout/</a></li>
	<li><a href="http://philippeadjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with-mahout-taste/"
class="external-link" rel="nofollow">Flexible Collaborative Filtering In Java With Mahout
Taste</a> &#45; Philippe Adjiman - Quick starting guide on how to use the collaborative
filtering package of Mahout (called Taste) to quickly and flexibly create, test and compare
tailored recommendation engines.</li>
	<li><a href="http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/"
class="external-link" rel="nofollow">Integrating Mahout with Lucene and Solr</a>
Three part series on ways to integrate Mahout with Lucene and Solr</li>
</ul>


<h1><a name="BooksTutorialsandTalks-Links"></a>Links</h1>

<ul>
	<li><a href="http://www.inma.ucl.ac.be/~francois/blog/entries/entry_757.php" class="external-link"
rel="nofollow">Collection of links to presentations on learning algorithms</a></li>
</ul>


<h1><a name="BooksTutorialsandTalks-Coursework%2FLectures"></a>Coursework/Lectures</h1>

<ul>
	<li><a href="http://videolectures.net/mlss05us_chicago/" class="external-link" rel="nofollow">http://videolectures.net/mlss05us_chicago/</a></li>
	<li><a href="http://videolectures.net/mlas06_pittsburgh/" class="external-link"
rel="nofollow">http://videolectures.net/mlas06_pittsburgh/</a></li>
	<li><a href="http://wiki.ailab.wsu.edu/ml/index.php/Main_Page" class="external-link"
rel="nofollow">http://wiki.ailab.wsu.edu/ml/index.php/Main_Page</a></li>
	<li><a href="http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1"
class="external-link" rel="nofollow">Stanford Lectures on Machine Learning by Andrew Ng</a></li>
	<li><a href="https://docs.google.com/open?id=0ByhGL2_SCeitMDQ3OTczNjItM2ZjYi00ZDg5LWE0MzItZGQxODQ5NzkzYjNj"
class="external-link" rel="nofollow">CMU@Qatar Introduction to Mahout lecture</a></li>
</ul>



<h1><a name="BooksTutorialsandTalks-Talks"></a>Talks</h1>

<p><b>Let's keep these in reverse chronological order, so that most recent talks
are at the top</b></p>

<ul>
	<li><a href="http://www.slideshare.net/VaradMeru/introduction-to-mahout-and-machine-learning"
class="external-link" rel="nofollow">Introduction to Mahout and Machine Learning</a>
&#45; Slides by Varad Meru, Software Development Engineer at Orzota. July 27th, 2013.</li>
	<li><a href="https://github.com/ManuelB/facebook-recommender-demo/raw/master/docs/Talk-BedCon-Berlin-2012.pdf"
class="external-link" rel="nofollow">How to build a recommender system based on Mahout
and JavaEE</a> &#45; Slides by Manuel Blechschmidt at Berlin Expert Days March,
2012.</li>
	<li><a href="http://lanyrd.com/2011/apachecon-north-america/skdtb/" class="external-link"
rel="nofollow">Apache Mahout for intelligent data analysis</a> &#45; Slides from
Isabel Drost at Apache Con NA November, 2011.</li>
	<li><a href="http://lanyrd.com/2011/apachecon-north-america/skdrk/" class="external-link"
rel="nofollow">Dr. Mahout: Analyzing clinical data using scalable and distributed computing</a>
&#45; Slides from Shannon Quinn at Apache Con NA November, 2011.</li>
	<li><a href="http://berlinbuzzwords.de/sites/berlinbuzzwords.de/files/composing-mahout-clustering-jobs.pdf"
class="external-link" rel="nofollow">Composing Mahout clustering jobs</a> &#45;
Slides from Frank Scholten at Berlin Buzzwords on June 7, 2011.</li>
	<li>Introduction to Collaborative Filtering using Mahout (updated) &#45; Talk by
Sean Owen at the London Hadoop User Group on April 14, 2011.</li>
	<li><a href="http://www.meetup.com/LA-HUG/pages/Video_from_March_16th_LA-HUG_Ted_Dunning_Mahout"
class="external-link" rel="nofollow">Cool Tricks with Classifiers</a> &#45; Talk
by Ted Dunning at the Los Angeles HUG talking about Mahout classifiers on March 16, 2011.</li>
	<li><a href="http://blog.isabel-drost.de/index.php/archives/325/apache-mahout-hackathon-berlin-2"
class="external-link" rel="nofollow">Mahout Hackathon</a> &#45; event write up
of the first Mahout Hackathon, Berlin, March 2011.</li>
	<li><a href="http://blog.jteam.nl/2011/01/13/announcement-lucene-nl-mahout-meetup-with-isabel-drost-feb-7/"
class="external-link" rel="nofollow">Mahout meetup</a> &#45; there were two talks
at the Apache Mahout meetup at JTeam in Amsterdam, February 2011. (<a href="http://isabel-drost.de/hadoop/slides/jteam.pdf"
class="external-link" rel="nofollow">Intro slides</a></li>
	<li><a href="http://www.fosdem.org/2011/schedule/event/mahoutclustering" class="external-link"
rel="nofollow">Mahout clustering </a> &#45; Talk on Mahout clustering at data
dev room FOSDEM, February 2011.</li>
	<li><a href="http://strataconf.com/strata2011/public/schedule/detail/16827" class="external-link"
rel="nofollow">Scaling Data Analysis with Apache Mahout </a> &#45; talk on Mahout
at O'Reilly Strata, February 2011.</li>
	<li><a href="http://www.slideshare.net/jaganadhg/mahout-tutorial-fossmeet-nitc"
class="external-link" rel="nofollow">Practical Machine Learning</a>&#45; Slides
from Biju B and Jaganadh G, FOSSMEET-NITC, Calicut, India, February 2011.</li>
	<li><a href="http://www.javaedge.com/jedge/pdf/Mahout.pdf" class="external-link"
rel="nofollow">Mahout at AlphaCSP's The Edge 2010 (pdf)</a> - <a href="http://www.slideshare.net/arikogan/mahouts-presentation-at-alphacsps-the-edge-2010"
class="external-link" rel="nofollow">(slideshare)</a> &#45; Slides from <a
href="http://il.linkedin.com/in/arielkogan" class="external-link" rel="nofollow">Ariel
Kogan</a>, AlphaCSP's The Edge, December 2010.</li>
	<li><a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf" class="external-link"
rel="nofollow">Intelligent data analysis with Apache Mahout</a> &#45; Slides
from Isabel Drost, Devoxx Antwerp, November 2010.</li>
	<li><a href="http://isabel-drost.de/hadoop/slides/codebits.pdf" class="external-link"
rel="nofollow">Apache Mahout introduction</a> &#45; Slides from Isabel Drost,
codebits Lisbon, November 2010.</li>
	<li><a href="http://isabel-drost.de/hadoop/slides/apachecon_2010.pdf" class="external-link"
rel="nofollow">Apache Mahout - Making Data Analysis Easy</a> &#45; Slides from
Isabel Drost, Apache Con US Atlanta, November 2010.</li>
	<li><a href="http://www.slideshare.net/jaganadhg/bck9" class="external-link" rel="nofollow">Practical
Machine Learning</a>&#45; Slides from Jaganadh G, BarCamp Kerala 9, November 2010.</li>
	<li><a href="http://www.slideshare.net/tdunning/sdforum-11042010" class="external-link"
rel="nofollow">Mahout and its new classification framework</a>&#45; Slides from
Ted Dunning, SDForum, November 2010.</li>
	<li><a href="http://www.slideshare.net/sscdotopen/mahoutcf" class="external-link"
rel="nofollow">Distributed Itembased Collaborative Filtering with Apache Mahout</a>
&#45; Slides from Sebastian Schelter, Hadoop Get Together Berlin, October 2010.</li>
	<li><a href="http://isabel-drost.de/hadoop/slides/HMM.pdf" class="external-link"
rel="nofollow">Hidden Markov Models for Mahout</a> &#45; Slides from Max Heimel,
Hadoop Get Together Berlin, October 2010.</li>
	<li><a href="http://www.slideshare.net/robinanil/oscon-apache-mahout-mammoth-scale-machine-learning"
class="external-link" rel="nofollow">Apache Mahout Mammoth Scale Machine Learning </a>
&#45; Slides from Robin Anil, OSCON 2010.</li>
	<li><a href="http://slidesha.re/9LxOIu" class="external-link" rel="nofollow">Intro
to Apache Mahout</a> &#45; Slides from Grant Ingersoll,  RTP Semantic Web Group.</li>
	<li><a href="http://www.slideshare.net/ydn/3-biometric-hadoopsummit2010" class="external-link"
rel="nofollow">Case study: Biometric Databases and Hadoop </a> &#45; Slides from
Jason Trost, Hadoop Summit 2010.</li>
	<li><a href="http://www.slideshare.net/hadoopusergroup/mail-antispam?from=ss_embed"
class="external-link" rel="nofollow">Spam Fighting at Yahoo</a></li>
	<li><a href="http://www.slideshare.net/hadoopusergroup/bixo-hug-talk?from=ss_embed"
class="external-link" rel="nofollow">Web Mining with Ken Krugler</a></li>
	<li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/ingersoll_bbuzz2010.pdf"
class="external-link" rel="nofollow">Keynote on intelligent search</a> &#45;
Slides from Grant Ingersoll, Berlin Buzzwords, June 2010.</li>
	<li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/owen_bbuzz2010.pdf"
class="external-link" rel="nofollow">Simple co-occurrence-based recommendation on Hadoop</a>
&#45; Slides from Sean Owen, Berlin Buzzwords, June, 2010.</li>
	<li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/scholten_bbuzz2010.odp"
class="external-link" rel="nofollow">Introduction to Collaborative Filtering using Mahout</a>
&#45; Slides from Frank Scholten, Berlin Buzzwords, June, 2010.</li>
	<li><a href="http://lucene.grantingersoll.com/2010/02/16/trijug-intro-to-mahout-slides-and-demo-examples/"
class="external-link" rel="nofollow">Introduction to Scalable Machine Learning</a>
&#45; Slides and demos from Grant Ingersoll, March, 2010.</li>
	<li><a href="http://www.scribd.com/doc/27637351/Mahout-India-Hadoop-Summit" class="external-link"
rel="nofollow">Mahout @ India Hadoop Summit</a> &#45; Slides from a 1 hour talk
on Mahout at the India Hadoop Summit by Robin Anil, February 2010.</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/opensourceexpo09.pdf" class="external-link"
rel="nofollow">Mahout in 10 minutes</a> &#45; Slides from a 10 min intro to Mahout
at the Map Reduce tutorial by David Zülke at Open Source Expo in Karlsruhe, Isabel Drost,
November 2009.</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/apacheconus2009.pdf" class="external-link"
rel="nofollow">Mahout at Apache Con US </a> &#45; Slides from a talk on "Going
from raw data to information" (with Mahout) at Apache Con US in Oakland, Isabel Drost, November
2009.</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/froscon2009.pdf" class="external-link"
rel="nofollow">Mahout at FrOSCon</a> &#45; Slides from a talk on Mahout at FrOSCon
in Sankt Augustin, Isabel Drost, August 2009.</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/dai.pdf" class="external-link"
rel="nofollow">Mahout at DAI group TU Berlin</a> &#45; Slides from a talk on
Mahout at the DAI Laboratories TU Berlin, Isabel Drost, July 2009.</li>
	<li><a href="http://www.hpi.uni-potsdam.de/naumann/lehre/ss_09/mapreduce_algorithms_on_hadoop.html"
class="external-link" rel="nofollow">Machine Learning course at HPI Potsdam</a> that
relies on Hadoop for efficient implementation. (<a href="http://www.isabel-drost.de/hadoop/slides/ewen.pdf"
class="external-link" rel="nofollow">Some slides</a> that try to explain, why students
taking this course should come over and have a look at and participate in Mahout.)</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/ulf.pdf" class="external-link"
rel="nofollow">Mahout at Machine Learning Group TU Berlin</a> &#45; Slides from
a talk on Hadoop with some detour to Mahout at the Machine Learning Group of Prof. Dr. Klaus-Robert
Müller at TU Berlin, Isabel Drost, June 2009.</li>
	<li><a href="http://http://www.isabel-drost.de/hadoop/slides/dima.pdf" class="external-link"
rel="nofollow">Mahout at DIMA TU Berlin</a> &#45; Slides from the research colloquium
at DIMA (Fachgebiet Datenbanksysteme und Informationsmanagement, Prof. Dr. rer. nat. Volker
Markl) TU Berlin, Isabel Drost, May 2009.</li>
	<li><a href="http://www.isabel-drost.de/hadoop/slides/google.pdf" class="external-link"
rel="nofollow">Mahout at Google Zürich</a> &#45; Slides from a Google tech-talk
on the past, present and future of Mahout, Isabel Drost, May 2009.</li>
	<li><a href="http://static.last.fm/johan/huguk-20090414/isabel_drost-introducing_apache_mahout.pdf"
class="external-link" rel="nofollow">Hadoop user group UK</a> &#45; Slides from
a talk on April 14, 2009 at the Hadoop User Group UK in London, Isabel Drost, April 2009.</li>
	<li><a href="http://cwiki.apache.org/confluence/download/attachments/88410/SDForum.pdf"
class="external-link" rel="nofollow">BI Over Petabytes: Meet Apache Mahout</a> &#45;
Slides from a talk by Jeff Eastman on April 21, 2009 at the Bay Area SD Forum Business Intelligence
SIG meeting at SAP in Palo Alto, CA.</li>
	<li>Lucene Meetup and Apache Barcamp in Amsterdam, March 2009.</li>
</ul>


<ul>
	<li><a href="http://barcamp.org/BarCampRDU" class="external-link" rel="nofollow">BarCampRDU</a>
&#45; No guarantee it will be scheduled, but Grant Ingersoll will be at BarCampRDU (Raleigh)
on Aug. 2, 2008 and would like to talk with people interested in Mahout and Hadoop.</li>
	<li><a href="http://www.us.apachecon.com/us2008" class="external-link" rel="nofollow">Introducing
Mahout: Apache Machine Learning</a> &#45; Committer Grant Ingersoll will be giving
a gentle introduction to Mahout and Machine Learning at ApacheCon in November (3rd through
7th) in New Orleans, USA.  Schedule TBD.</li>
	<li><a href="http://www.froscon.org/" class="external-link" rel="nofollow">Mahout:
Scaling Machine Learning</a> &#45; Introduction to Mahout and machine learning at
FrOSCon in Sankt Augustin/Germany, Isabel Drost, August 2008. (<a href="http://cwiki.apache.org/confluence/download/attachments/88410/froscon.pdf"
class="external-link" rel="nofollow">Slides</a>)</li>
	<li><a href="http://upcoming.yahoo.com/event/807782/" class="external-link" rel="nofollow">Mahout:
Scalable Machine Learning</a> &#45; An introduction to Mahout and machine learning
at the first German Hadoop gathering in newthinking store/ Berlin, Isabel Drost, July 2008.</li>
	<li>Apache Mahout: Industrial Strength Machine Learning - Committer Jeff Eastman gave
an introduction to Mahout at Yahoo&#33;, May 2008</li>
	<li><a href="http://people.apache.org/~berndf/openexpode08-lucene-talk.pdf" class="external-link"
rel="nofollow">Apache Lucene - Mach's wie Google</a> &#45; Bernd Fondermann presented
an overview of the Apache Lucene project, including Mahout at Open Source Expo 2008 in Karlsruhe,
May 2008.</li>
	<li>Apache Mahout: Bringing Machine Learning to Industrial Strength - Committer Isabel
Drost gave a Fast Feather introduction the the new project Mahout at Apache Con EU April,
2008</li>
</ul>

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