Title: Books Tutorials and Talks

# Intro

This page is a place for info about talks (past and upcoming), tutorials, articles, books, slides, PDFs, discussions, etc. about Mahout. No endorsements are implied or
given.

# Books

## Mahout specific

   * <a href="http://www.weatheringthroughtechdays.com/2016/02/mahout-samsara-book-is-out.html">Apache Mahout: Beyond MapReduce</a> by Dmitriy Lyubimov and Andrew Palumbo published Feb 2016. Covers new features in Mahout "Samsara" releases (0.10, 0.11+).
   * <a href="http://www.packtpub.com/apache-mahout-cookbook/book">Apache Mahout cookbook</a>- Book by Piero Giacomelli published Dec 2013 by Packtpub.
   * <a href="http://www.manning.com/owen/">Mahout in Action</a> - Book by Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman published Oct 2011 by Manning Publications.
   * <a href="http://www.manning.com/ingersoll/">Taming Text</a> - 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.

## Engineering oriented machine learning books

   * <a href="http://www.amazon.com/Collective-Intelligence-Action-Satnam-Alag/dp/1933988312/ref=pd_bbs_sr_3?ie=UTF8&s=books&qid=1214545249&sr=1-3">Collective Intelligence in Action</a>
   * <a href="http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/ref=pd_bbs_sr_1/104-1017533-9408723?ie=UTF8&s=books&qid=1214593516&sr=1-1">Programming Collective Intelligence</a>
   * <a href="http://www.amazon.com/Algorithms-Intelligent-Web-Haralambos-Marmanis/dp/1933988665/ref=sr_1_1?s=books&ie=UTF8&qid=1298005918&sr=1-1">Algorithms of the Intelligent Web</a>

## Scientific background

   * <a href="http://www.cs.waikato.ac.nz/~ml/weka/book.html">Data Mining: Practical Machine Learning Tools and Techniques</a>
   * <a href="http://www-nlp.stanford.edu/IR-book/">Introduction to Information Retrieval</a>
   * <a href="http://www.amazon.com/Machine-Learning-Mcgraw-Hill-International-Edit/dp/0071154671/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1214593709&sr=8-1">Machine Learning</a>
   * <a href="http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=pd_bbs_sr_2?ie=UTF8&s=books&qid=1214593709&sr=8-2">Pattern Recognition and Machine Learning (Information Science and Statistics) </a>

# News, Articles and Tutorials

   * [Mahout 0.10.x: first Mahout release as a programming environment](http://www.weatheringthroughtechdays.com/2015/04/mahout-010x-first-mahout-release-as.html)   
   * [Comparing Document Classification Functions of Lucene and Mahout](http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html)
   * <a href="http://www.ibm.com/developerworks/java/library/j-mahout-scaling/">Apache Mahout: Scalable Machine Learning for Everyone</a>
   * <a href="http://emmaespina.wordpress.com/2011/04/26/ham-spam-and-elephants-or-how-to-build-a-spam-filter-server-with-mahout/">How to build a spam filter server with Mahout</a> - Applying classification on a live server - April 2011
   * <a href="http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/">Deploying a massively scalable recommender system with Apache Mahout</a> - Blogpost of Sebastian Schelter in April 2011
   * <a href="http://www.redmonk.com/cote/2010/11/04/makeall013/">Apache Mahout & the commoditization of machine learning </a> - Podcast interview with Grant Ingersoll at ApacheCon 2010
   * <a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf">Apache Mahout 0.4 mit neuen Algorithmen</a> - published after the 0.4 release by heise Open/ Developer, November 2010
   * <a href="http://www.infoq.com/news/2009/04/mahout">Mahout on InfoQ</a> - Interview with Grant Ingersoll on InfoQ
   * <a href="http://www.cloudera.com/blog/2009/04/21/hadoop-uk-user-group-meeting/">Mahout in the Cloudera weblog</a> - published after the Hadoop user group UK.
   * <a href="http://blog.athico.com/2008/08/machine-learning-and-apache-mahout.html">Mahout in the Drools weblog</a> - Michael Neale published an article on Mahout in the drools weblog
   * <a href="https://www.ibm.com/developerworks/java/library/j-mahout/index.html">Introducing Apache Mahout</a> - Grant Ingersoll - Intro to Apache Mahout focused on clustering, classification and collaborative filtering. Japanese translation available at: [http://www.ibm.com/developerworks/jp/java/library/j-mahout/](http://www.ibm.com/developerworks/jp/java/library/j-mahout/)
   * <a href="http://philippeadjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with-mahout-taste/">Flexible Collaborative Filtering In Java With Mahout Taste</a> - 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.
   * <a href="http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/">Integrating Mahout with Lucene and Solr</a> Three part series on ways to integrate Mahout with Lucene and Solr
   * <a href="https://www.youtube.com/watch?v=yD40rVKUwPI">Mahout Item Recommender Tutorial using Java and Eclipse</a> - YouTube video tutorial by Steve Cook


# Coursework/Lectures

   * <a href="http://videolectures.net/mlss05us_chicago/">http://videolectures.net/mlss05us_chicago/</a>
   * <a href="http://videolectures.net/mlas06_pittsburgh/">http://videolectures.net/mlas06_pittsburgh/</a>
   * <a href="http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1">Stanford Lectures on Machine Learning by Andrew Ng</a>
   * <a href="https://docs.google.com/open?id=0ByhGL2_SCeitMDQ3OTczNjItM2ZjYi00ZDg5LWE0MzItZGQxODQ5NzkzYjNj">CMU@Qatar Introduction to Mahout lecture</a>


# Talks

In reverse chronological order, so that most recent talks are at the top

   * [Distributed Machine Learning with Apache Mahout] Suneel Marthi at Apache Big Data North America, Vancouver, Canada, May 11, 2016 and MapR Washington DC Big Data Everywhere, Tysons, VA, June 2 2016
   * [Declarative Machine Learning with the Samsara DSL](http://www.slideshare.net/FlinkForward/sebastian-schelter-distributed-machine-learing-with-the-samsara-dsl) Sebastian Schelter at Flink Forward Conference, Berlin Germany, October 2015.
   * [Bringing Algebraic Semantics to Mahout](http://www.slideshare.net/sscdotopen/bringing-algebraic-semantics-to-mahout) Sebastian Schelter at HPI Infolunch, Potsdam Germany, May 2014
   * Mahout Spark and Scala bindings: Bringing Algebraic Semantics ([slides](http://www.slideshare.net/DmitriyLyubimov/mahout-scala-and-spark-bindings)/[video](http://youtu.be/h9dpmvNW1Dw)) - Dmitriy Lyubimov at Mahout Meetup, April 17, 2014. 
   * Mahout Future Directions - Ted Dunning, Suneel Marthi, Sebastian Schelter at Hadoop Summit Europe 2014, Amsterdam, April 3, 2014
   * Building Recommender Systems for Mere-Mortals - Sebastian Schelter at Researchgate Developer Day, Berlin, November 2013
   * Recommendations with Apache Mahout - Sebastian Schelter at IBM Almaden Research Center, San Jose, September 2013
   * <a href="http://de.slideshare.net/sscdotopen/next-directions-in-mahouts-recommenders">Next Directions in Mahout’s Recommenders</a> - Sebastian Schelter at Bay Area Mahout Meetup, Redwood City, August 2013 
   * <a href="http://de.slideshare.net/sscdotopen/new-directions-in-mahouts-recommenders">New Directions in Mahout’s Recommenders</a> - Sebastian Schelter at Recommender Systems Get Together Berlin, April 2013
   * <a href="http://www.slideshare.net/VaradMeru/introduction-to-mahout-and-machine-learning">Introduction to Mahout and Machine Learning</a> - Slides by Varad Meru, Software Development Engineer at Orzota. July 27th, 2013.
   * <a href="http://de.slideshare.net/sscdotopen/introduction-to-collaborative-filtering-with-apache-mahout">An Introduction to Collaborative Filtering with Apache Mahout</a> - Sebastian Schelter at Recommender Systems Challenge Workshop in conjunction with ACM RecSys 2012, Dublin, September 2012
   * <a href="https://github.com/ManuelB/facebook-recommender-demo/raw/master/docs/Talk-BedCon-Berlin-2012.pdf">How to build a recommender system based on Mahout and JavaEE</a> - Slides by Manuel Blechschmidt at Berlin Expert Days March, 2012.
   * <a href="http://lanyrd.com/2011/apachecon-north-america/skdtb/">Apache Mahout for intelligent data analysis</a> - Slides from Isabel Drost at Apache Con NA November, 2011.
   * <a href="http://lanyrd.com/2011/apachecon-north-america/skdrk/">Dr. Mahout: Analyzing clinical data using scalable and distributed computing</a> - Slides from Shannon Quinn at Apache Con NA November, 2011.
   * Frank Scholten at Berlin Buzzwords on June 7, 2011.
   * Introduction to Collaborative Filtering using Mahout (updated) - Talk by Sean Owen at the London Hadoop User Group on April 14, 2011.
   *  <a href="http://www.meetup.com/LA-HUG/pages/Video_from_March_16th_LA-HUG_Ted_Dunning_Mahout">Cool Tricks with Classifiers</a> - Talk by Ted Dunning at the Los Angeles HUG talking about Mahout classifiers on March 16, 2011.
   * First Mahout Hackathon, Berlin, March 2011
   * <a href="http://blog.jteam.nl/2011/01/13/announcement-lucene-nl-mahout-meetup-with-isabel-drost-feb-7/">Mahout meetup</a> - 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">intro slides</a>
   * <a href="http://www.fosdem.org/2011/schedule/event/mahoutclustering.html">Mahout clustering </a> - Talk on Mahout clustering at data dev room FOSDEM, February 2011.
   * Scaling Data Analysis with Apache Mahout - talk on Mahout at O'Reilly Strata, February 2011. 
   * <a href="http://www.slideshare.net/jaganadhg/mahout-tutorial-fossmeet-nitc">Practical Machine Learning</a> - Slides from Biju B and Jaganadh G, FOSSMEET-NITC, Calicut, India, February 2011.
   * <a href="http://www.javaedge.com/jedge/pdf/Mahout.pdf">Mahout at AlphaCSPs The Edge 2010 (pdf)</a> - <a href="http://www.slideshare.net/arikogan/mahouts-presentation-at-alphacsps-the-edge-2010">slideshare</a> - Slides from <a href="http://il.linkedin.com/in/arielkogan">Ariel Kogan</a> AlphaCSP's The Edge, December 2010.
   * <a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf">Intelligent data analysis with Apache Mahout</a> - Slides from Isabel Drost, Devoxx Antwerp, November 2010.
   * <a href="http://isabel-drost.de/hadoop/slides/codebits.pdf">Apache Mahout introduction</a> - Slides from Isabel Drost, codebits Lisbon, November 2010.
   * <a href="http://isabel-drost.de/hadoop/slides/apachecon_2010.pdf">Apache Mahout - Making Data Analysis Easy</a> - Slides from Isabel Drost, Apache Con US Atlanta, November 2010.
   * <a href="http://www.slideshare.net/jaganadhg/bck9">Practical Machine Learning</a> - Slides from Jaganadh G, BarCamp Kerala 9, November 2010.
   * <a href="http://www.slideshare.net/tdunning/sdforum-11042010">Mahout and its new classification framework</a> - Slides from Ted Dunning, SDForum, November 2010.
   * <a href="http://www.slideshare.net/sscdotopen/mahoutcf">Distributed Item-based Collaborative Filtering with Apache Mahout</a> - Slides from Sebastian Schelter, Hadoop Get Together Berlin, October 2010.
   * <a href="http://isabel-drost.de/hadoop/slides/HMM.pdf">Hidden Markov Models for Mahout</a> - Slides from Max Heimel, Hadoop Get Together Berlin, October 2010.
   * <a href="http://www.slideshare.net/robinanil/oscon-apache-mahout-mammoth-scale-machine-learning">Apache Mahout Mammoth Scale Machine Learning </a> - Slides from Robin Anil, OSCON 2010.
   * <a href="http://slidesha.re/9LxOIu">Intro to Apache Mahout</a> - Slides from Grant Ingersoll,  RTP Semantic Web Group.
   * <a href="http://www.slideshare.net/ydn/3-biometric-hadoopsummit2010">Case study: Biometric Databases and Hadoop </a> - Slides from Jason Trost, Hadoop Summit 2010.
   * <a href="http://www.slideshare.net/hadoopusergroup/mail-antispam?from=ss_embed">Spam Fighting at Yahoo</a>
   * <a href="http://www.slideshare.net/hadoopusergroup/bixo-hug-talk?from=ss_embed">Web Mining with Ken Krugler</a>
   * <a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/ingersoll_bbuzz2010.pdf">Keynote on intelligent search</a> - Slides from Grant Ingersoll, Berlin Buzzwords, June 2010.
   * <a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/owen_bbuzz2010.pdf">Simple co-occurrence-based recommendation on Hadoop</a> - Slides from Sean Owen, Berlin Buzzwords, June, 2010.
   * <a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/scholten_bbuzz2010.odp">Introduction to Collaborative Filtering using Mahout</a> - Slides from Frank Scholten, Berlin Buzzwords, June, 2010.
   * <a href="http://lucene.grantingersoll.com/2010/02/16/trijug-intro-to-mahout-slides-and-demo-examples/">Introduction to Scalable Machine Learning</a> - Slides and demos from Grant Ingersoll, March, 2010.
   * Mahout @ India Hadoop Summit - Slides from a 1 hour talk on Mahout at the India Hadoop Summit by Robin Anil, February 2010.
   * <a href="http://www.isabel-drost.de/hadoop/slides/opensourceexpo09.pdf">Mahout in 10 minutes</a> - Slides from a 10 min intro to Mahout at the Map Reduce tutorial by David Z&uuml;lke at Open Source Expo in Karlsruhe, Isabel Drost, November 2009.
   * <a href="http://www.isabel-drost.de/hadoop/slides/apacheconus2009.pdf">Mahout at Apache Con US </a> - Slides from a talk on "Going from raw data to information" (with Mahout) at Apache Con US in Oakland, Isabel Drost, November 2009.
   * <a href="http://www.isabel-drost.de/hadoop/slides/froscon2009.pdf">Mahout at FrOSCon</a> - Slides from a talk on Mahout at FrOSCon in Sankt Augustin, Isabel Drost, August 2009.
   * <a href="http://www.isabel-drost.de/hadoop/slides/dai.pdf">Mahout at DAI group TU Berlin</a> - Slides from a talk on Mahout at the DAI Laboratories TU Berlin, Isabel Drost, July 2009.
   * <a href="http://www.isabel-drost.de/hadoop/slides/ulf.pdf">Mahout at Machine Learning Group TU Berlin</a> - Slides from a talk on Hadoop with some detour to Mahout at the Machine
   * Learning Group of Prof. Dr. Klaus-Robert M&uuml;ller at TU Berlin, Isabel Drost, June 2009.
   * <a href="http://www.isabel-drost.de/hadoop/slides/google.pdf">Mahout at Google Z&uuml;rich</a> - Slides from a Google tech-talk on the past, present and future of Mahout, Isabel Drost, May 2009.
   * <a href="http://static.last.fm/johan/huguk-20090414/isabel_drost-introducing_apache_mahout.pdf">Hadoop user group UK</a> - Slides from a talk on April 14, 2009 at the Hadoop User Group UK in London, Isabel Drost, April 2009.
   * <a href="http://cwiki.apache.org/confluence/download/attachments/88410/SDForum.pdf">BI Over Petabytes: Meet Apache Mahout</a> - 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.
   * Lucene Meetup and Apache Barcamp in Amsterdam, March 2009.
   * BarCampRDU - (Raleigh) on Aug. 2, 2008
   * Introducing Mahout: Apache Machine Learning - Committer Grant Ingersoll gave a gentle introduction to Mahout and Machine Learning at ApacheCon in November (3rd through 7th) in New Orleans, USA. 
   * Mahout: Scaling Machine Learning - 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">slides</a>)
   * Mahout: Scalable Machine Learning - An introduction to Mahout and machine learning at the first German Hadoop gathering in newthinking store/ Berlin, Isabel Drost, July 2008.
   * Apache Mahout: Industrial Strength Machine Learning - Committer Jeff Eastman gave an introduction to Mahout at Yahoo\!, May 2008
   * <a href="http://people.apache.org/~berndf/openexpode08-lucene-talk.pdf">Apache Lucene - Mach's wie Google</a> - Bernd Fondermann presented an overview of the Apache Lucene project,
   * including Mahout at Open Source Expo 2008 in Karlsruhe, May 2008.
   * 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