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Subject: [CONF] Apache Mahout > Books Tutorials and Talks
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Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT)
Page: Books Tutorials and Talks (https://cwiki.apache.org/confluence/displa=
y/MAHOUT/Books+Tutorials+and+Talks)


Edited by Grant Ingersoll:
---------------------------------------------------------------------
{toc:style=3Ddisc|indent=3D20px}

h1. Intro

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

h1. Background Material

* [Reference Reading]

h1. Books

* [Mahout in Action|http://www.manning.com/owen/] \- Book by Sean Owen and =
Robin Anil, published by Manning Publications.
* [Taming Text|http://www.manning.com/ingersoll/] \- By Grant Ingersoll and=
 Tom Morton, published by Manning Publications.  Will have some Mahout cove=
rage, but by no means as complete as Mahout in Action.
* [Data Mining: Practical Machine Learning Tools and Techniques|http://www.=
cs.waikato.ac.nz/~ml/weka/book.html]
* [Programming Collective Intelligence|http://www.amazon.com/Programming-Co=
llective-Intelligence-Building-Applications/dp/0596529325/ref=3Dpd_bbs_sr_1=
/104-1017533-9408723?ie=3DUTF8&s=3Dbooks&qid=3D1214593516&sr=3D1-1]
* [Collective Intelligence in Action|http://www.amazon.com/Collective-Intel=
ligence-Action-Satnam-Alag/dp/1933988312/ref=3Dpd_bbs_sr_3?ie=3DUTF8&s=3Dbo=
oks&qid=3D1214545249&sr=3D1-3]
* [Machine Learning|http://www.amazon.com/Machine-Learning-Mcgraw-Hill-Inte=
rnational-Edit/dp/0071154671/ref=3Dpd_bbs_sr_1?ie=3DUTF8&s=3Dbooks&qid=3D12=
14593709&sr=3D8-1]
* [Pattern Recognition and Machine Learning (Information Science and Statis=
tics) |http://www.amazon.com/Pattern-Recognition-Learning-Information-Stati=
stics/dp/0387310738/ref=3Dpd_bbs_sr_2?ie=3DUTF8&s=3Dbooks&qid=3D1214593709&=
sr=3D8-2]
* [Introduction to Information Retrieval|http://www-csli.stanford.edu/~hinr=
ich/information-retrieval-book.html]
* [Information Theory, Inference, and Learning Algorithms by David MacKay| =
http://www.inference.phy.cam.ac.uk/itprnn/book.html]
* [Text Mining Application Programming | http://www.amazon.com/Text-Mining-=
Application-Programming/dp/1584504609]
* [Algorithms of the Intelligent Web|http://www.amazon.com/Algorithms-Intel=
ligent-Web-Haralambos-Marmanis/dp/1933988665/ref=3Dsr_1_1?s=3Dbooks&ie=3DUT=
F8&qid=3D1298005918&sr=3D1-1]

h1. News, Articles and Tutorials

[Apache Mahout & the commoditization of machine learning |http://www.redmon=
k.com/cote/2010/11/04/makeall013/] \- Podcast interview with Grant Ingersol=
l at ApacheCon 2010

[Apache Mahout 0.4 mit neuen Algorithmen|http://isabel-drost.de/hadoop/slid=
es/devoxx.pdf] \- published after the 0.4 release by heise Open/ Developer,=
 November 2010

[Mahout on InfoQ|http://www.infoq.com/news/2009/04/mahout] \- Interview wit=
h Grant Ingersoll on InfoQ

[Mahout in the Cloudera weblog|http://www.cloudera.com/blog/2009/04/21/hado=
op-uk-user-group-meeting/] \- published after the Hadoop user group UK.

[Mahout in the Drools weblog|http://blog.athico.com/2008/08/machine-learnin=
g-and-apache-mahout.html] \- Michael Neale published an article on Mahout i=
n the drools weblog

[Introducing Apache Mahout|https://www.ibm.com/developerworks/java/library/=
j-mahout/index.html] \- Grant Ingersoll - Intro to Apache Mahout focused on=
 clustering, classification and collaborative filtering.
Japanese translation available at: [http://www.ibm.com/developerworks/jp/ja=
va/library/j-mahout/]

[Flexible Collaborative Filtering In Java With Mahout Taste|http://philippe=
adjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with-m=
ahout-taste/] \- Philippe Adjiman - Quick starting guide on how to use the =
collaborative filtering package of Mahout (called Taste) to quickly and fle=
xibly create, test and compare tailored recommendation engines.

[Integrating Mahout with Lucene and Solr|http://www.lucidimagination.com/bl=
og/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-=
of-3/] Three part series on ways to integrate Mahout with Lucene and Solr

h1. Links

* [Collection of links to presentations on learning algorithms|http://www.i=
nma.ucl.ac.be/~francois/blog/entries/entry_757.php]

h1. Coursework/Lectures

* [http://videolectures.net/mlss05us_chicago/]
* [http://videolectures.net/mlas06_pittsburgh/]
* [http://wiki.ailab.wsu.edu/ml/index.php/Main_Page]
* [Stanford Lectures on Machine Learning by Andrew Ng|http://see.stanford.e=
du/see/lecturelist.aspx?coll=3D348ca38a-3a6d-4052-937d-cb017338d7b1]


h1. Talks

*Let's keep these in reverse chronological order, so that most recent talks=
 are at the top*

[Cool Tricks with Classifiers|http://www.meetup.com/LA-HUG/pages/Video_from=
_March_16th_LA-HUG_Ted_Dunning_Mahout] \- Talk by Ted Dunning at the Los An=
geles HUG talking about Mahout classifiers on March 16, 2011.

[Mahout Hackathon|http://blog.isabel-drost.de/index.php/archives/325/apache=
-mahout-hackathon-berlin-2] \- event write up of the first Mahout Hackathon=
, Berlin, March 2011.

[Mahout meetup|http://blog.jteam.nl/2011/01/13/announcement-lucene-nl-mahou=
t-meetup-with-isabel-drost-feb-7/] \- there were two talks at the Apache Ma=
hout meetup at JTeam in Amsterdam, February 2011. ([Intro slides|http://isa=
bel-drost.de/hadoop/slides/jteam.pdf]

[Mahout clustering | http://www.fosdem.org/2011/schedule/event/mahoutcluste=
ring] \- Talk on Mahout clustering at data dev room FOSDEM, February 2011.

[Scaling Data Analysis with Apache Mahout | http://strataconf.com/strata201=
1/public/schedule/detail/16827] \- talk on Mahout at O'Reilly Strata, Febru=
ary 2011.=20

[Practical Machine Learning|http://www.slideshare.net/jaganadhg/mahout-tuto=
rial-fossmeet-nitc]\- Slides from Biju B and Jaganadh G, FOSSMEET-NITC, Cal=
icut, India, February 2011.

[Mahout at AlphaCSP's The Edge 2010 (pdf)|http://www.javaedge.com/jedge/pdf=
/Mahout.pdf] - [(slideshare)|http://www.slideshare.net/arikogan/mahouts-pre=
sentation-at-alphacsps-the-edge-2010] \- Slides from [Ariel Kogan|http://il=
.linkedin.com/in/arielkogan], AlphaCSP's The Edge, December 2010.

[Intelligent data analysis with Apache Mahout|http://isabel-drost.de/hadoop=
/slides/devoxx.pdf] \- Slides from Isabel Drost, Devoxx Antwerp, November 2=
010.

[Apache Mahout introduction|http://isabel-drost.de/hadoop/slides/codebits.p=
df] \- Slides from Isabel Drost, codebits Lisbon, November 2010.

[Apache Mahout - Making Data Analysis Easy|http://isabel-drost.de/hadoop/sl=
ides/apachecon_2010.pdf] \- Slides from Isabel Drost, Apache Con US Atlanta=
, November 2010.

[Practical Machine Learning|http://www.slideshare.net/jaganadhg/bck9]\- Sli=
des from Jaganadh G, BarCamp Kerala 9, November 2010.

[Mahout and its new classification framework|http://www.slideshare.net/tdun=
ning/sdforum-11042010]\- Slides from Ted Dunning, SDForum, November 2010.

[Distributed Itembased Collaborative Filtering with Apache Mahout|http://ww=
w.slideshare.net/sscdotopen/mahoutcf] \- Slides from Sebastian Schelter, Ha=
doop Get Together Berlin, October 2010.

[Hidden Markov Models for Mahout|http://isabel-drost.de/hadoop/slides/HMM.p=
df] \- Slides from Max Heimel, Hadoop Get Together Berlin, October 2010.

[Apache Mahout Mammoth Scale Machine Learning |http://www.slideshare.net/ro=
binanil/oscon-apache-mahout-mammoth-scale-machine-learning] \- Slides from =
Robin Anil, OSCON 2010.

[Intro to Apache Mahout|http://slidesha.re/9LxOIu] \- Slides from Grant Ing=
ersoll,  RTP Semantic Web Group.

[Case study: Biometric Databases and Hadoop |http://www.slideshare.net/ydn/=
3-biometric-hadoopsummit2010] \- Slides from Jason Trost, Hadoop Summit 201=
0.

[Spam Fighting at Yahoo|http://www.slideshare.net/hadoopusergroup/mail-anti=
spam?from=3Dss_embed]

[Web Mining with Ken Krugler|http://www.slideshare.net/hadoopusergroup/bixo=
-hug-talk?from=3Dss_embed]

[Keynote on intelligent search|http://berlinbuzzwords.wikidot.com/local--fi=
les/links-to-slides/ingersoll_bbuzz2010.pdf] \- Slides from Grant Ingersoll=
, Berlin Buzzwords, June 2010.

[Simple co-occurrence-based recommendation on Hadoop|http://berlinbuzzwords=
.wikidot.com/local--files/links-to-slides/owen_bbuzz2010.pdf] \- Slides fro=
m Sean Owen, Berlin Buzzwords, June, 2010.

[Introduction to Collaborative Filtering using Mahout|http://berlinbuzzword=
s.wikidot.com/local--files/links-to-slides/scholten_bbuzz2010.odp] \- Slide=
s from Frank Scholten, Berlin Buzzwords, June, 2010.

[Introduction to Scalable Machine Learning|http://lucene.grantingersoll.com=
/2010/02/16/trijug-intro-to-mahout-slides-and-demo-examples/] \- Slides and=
 demos from Grant Ingersoll, March, 2010.

[Mahout @ India Hadoop Summit|http://www.scribd.com/doc/27637351/Mahout-Ind=
ia-Hadoop-Summit] \- Slides from a 1 hour talk on Mahout at the India Hadoo=
p Summit by Robin Anil, February 2010.

[Mahout in 10 minutes|http://www.isabel-drost.de/hadoop/slides/opensourceex=
po09.pdf] \- Slides from a 10 min intro to Mahout at the Map Reduce tutoria=
l by David Z=C3=BClke at Open Source Expo in Karlsruhe, Isabel Drost, Novem=
ber 2009.

[Mahout at Apache Con US |http://www.isabel-drost.de/hadoop/slides/apacheco=
nus2009.pdf] \- Slides from a talk on "Going from raw data to information" =
(with Mahout) at Apache Con US in Oakland, Isabel Drost, November 2009.

[Mahout at FrOSCon|http://www.isabel-drost.de/hadoop/slides/froscon2009.pdf=
] \- Slides from a talk on Mahout at FrOSCon in Sankt Augustin, Isabel Dros=
t, August 2009.

[Mahout at DAI group TU Berlin|http://www.isabel-drost.de/hadoop/slides/dai=
.pdf] \- Slides from a talk on Mahout at the DAI Laboratories TU Berlin, Is=
abel Drost, July 2009.

[Machine Learning course at HPI Potsdam|http://www.hpi.uni-potsdam.de/nauma=
nn/lehre/ss_09/mapreduce_algorithms_on_hadoop.html] that relies on Hadoop f=
or efficient implementation. ([Some slides|http://www.isabel-drost.de/hadoo=
p/slides/ewen.pdf] that try to explain, why students taking this course sho=
uld come over and have a look at and participate in Mahout.)

[Mahout at Machine Learning Group TU Berlin|http://www.isabel-drost.de/hado=
op/slides/ulf.pdf] \- Slides from a talk on Hadoop with some detour to Maho=
ut at the Machine Learning Group of Prof. Dr. Klaus-Robert M=C3=BCller at T=
U Berlin, Isabel Drost, June 2009.

[Mahout at DIMA TU Berlin|http://http://www.isabel-drost.de/hadoop/slides/d=
ima.pdf] \- Slides from the research colloquium at DIMA (Fachgebiet Datenba=
nksysteme und Informationsmanagement, Prof. Dr. rer. nat. Volker Markl) TU =
Berlin, Isabel Drost, May 2009.

[Mahout at Google Z=C3=BCrich|http://www.isabel-drost.de/hadoop/slides/goog=
le.pdf] \- Slides from a Google tech-talk on the past, present and future o=
f Mahout, Isabel Drost, May 2009.

[Hadoop user group UK|http://static.last.fm/johan/huguk-20090414/isabel_dro=
st-introducing_apache_mahout.pdf] \- Slides from a talk on April 14, 2009 a=
t the Hadoop User Group UK in London, Isabel Drost, April 2009.

[BI Over Petabytes: Meet Apache Mahout|http://cwiki.apache.org/confluence/d=
ownload/attachments/88410/SDForum.pdf] \- Slides from a talk by Jeff Eastma=
n on April 21, 2009 at the Bay Area SD Forum Business Intelligence SIG meet=
ing at SAP in Palo Alto, CA.

Lucene Meetup and Apache Barcamp in Amsterdam, March 2009.

[BarCampRDU|http://barcamp.org/BarCampRDU] \- No guarantee it will be sched=
uled, but Grant Ingersoll will be at BarCampRDU (Raleigh) on Aug. 2, 2008 a=
nd would like to talk with people interested in Mahout and Hadoop.

[Introducing Mahout: Apache Machine Learning|http://www.us.apachecon.com/us=
2008] \- Committer Grant Ingersoll will be giving a gentle introduction to =
Mahout and Machine Learning at ApacheCon in November (3rd through 7th) in N=
ew Orleans, USA.  Schedule TBD.

[Mahout: Scaling Machine Learning|http://www.froscon.org/] \- Introduction =
to Mahout and machine learning at FrOSCon in Sankt Augustin/Germany, Isabel=
 Drost, August 2008. ([Slides|http://cwiki.apache.org/confluence/download/a=
ttachments/88410/froscon.pdf])

[Mahout: Scalable Machine Learning|http://upcoming.yahoo.com/event/807782/]=
 \- An introduction to Mahout and machine learning at the first German Hado=
op gathering in newthinking store/ Berlin, Isabel Drost, July 2008.

Apache Mahout: Industrial Strength Machine Learning - Committer Jeff Eastma=
n gave an introduction to Mahout at Yahoo\!, May 2008

[Apache Lucene - Mach's wie Google|http://people.apache.org/~berndf/openexp=
ode08-lucene-talk.pdf] \- Bernd Fondermann presented an overview of the Apa=
che 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 a=
t Apache Con EU April, 2008

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