layout: default 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

  • Apache Mahout: Beyond MapReduce by Dmitriy Lyubimov and Andrew Palumbo published Feb 2016. Covers new features in Mahout “Samsara” releases (0.10, 0.11+).
  • Apache Mahout cookbook- Book by Piero Giacomelli published Dec 2013 by Packtpub.
  • Mahout in Action - Book by Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman published Oct 2011 by Manning Publications.
  • Taming Text - 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

  • Collective Intelligence in Action
  • Programming Collective Intelligence
  • Algorithms of the Intelligent Web

Scientific background

  • Data Mining: Practical Machine Learning Tools and Techniques
  • Introduction to Information Retrieval
  • Machine Learning
  • Pattern Recognition and Machine Learning (Information Science and Statistics)

News, Articles and Tutorials

  • Mahout 0.10.x: first Mahout release as a programming environment
  • Comparing Document Classification Functions of Lucene and Mahout
  • Apache Mahout: Scalable Machine Learning for Everyone
  • How to build a spam filter server with Mahout - Applying classification on a live server - April 2011
  • Deploying a massively scalable recommender system with Apache Mahout - Blogpost of Sebastian Schelter in April 2011
  • Apache Mahout & the commoditization of machine learning - Podcast interview with Grant Ingersoll at ApacheCon 2010
  • Apache Mahout 0.4 mit neuen Algorithmen - published after the 0.4 release by heise Open/ Developer, November 2010
  • Mahout on InfoQ - Interview with Grant Ingersoll on InfoQ
  • Mahout in the Cloudera weblog - published after the Hadoop user group UK.
  • Mahout in the Drools weblog - Michael Neale published an article on Mahout in the drools weblog
  • Introducing Apache Mahout - 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/
  • Flexible Collaborative Filtering In Java With Mahout Taste - 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.
  • Integrating Mahout with Lucene and Solr Three part series on ways to integrate Mahout with Lucene and Solr
  • Mahout Item Recommender Tutorial using Java and Eclipse - YouTube video tutorial by Steve Cook

Coursework/Lectures

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 Sebastian Schelter at Flink Forward Conference, Berlin Germany, October 2015.
  • Bringing Algebraic Semantics to Mahout Sebastian Schelter at HPI Infolunch, Potsdam Germany, May 2014
  • Mahout Spark and Scala bindings: Bringing Algebraic Semantics (slides/video) - 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
  • Next Directions in Mahout’s Recommenders - Sebastian Schelter at Bay Area Mahout Meetup, Redwood City, August 2013
  • New Directions in Mahout’s Recommenders - Sebastian Schelter at Recommender Systems Get Together Berlin, April 2013
  • Introduction to Mahout and Machine Learning - Slides by Varad Meru, Software Development Engineer at Orzota. July 27th, 2013.
  • An Introduction to Collaborative Filtering with Apache Mahout - Sebastian Schelter at Recommender Systems Challenge Workshop in conjunction with ACM RecSys 2012, Dublin, September 2012
  • How to build a recommender system based on Mahout and JavaEE - Slides by Manuel Blechschmidt at Berlin Expert Days March, 2012.
  • Apache Mahout for intelligent data analysis - Slides from Isabel Drost at Apache Con NA November, 2011.
  • Dr. Mahout: Analyzing clinical data using scalable and distributed computing - 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.
  • Cool Tricks with Classifiers - Talk by Ted Dunning at the Los Angeles HUG talking about Mahout classifiers on March 16, 2011.
  • First Mahout Hackathon, Berlin, March 2011
  • Mahout meetup - there were two talks at the Apache Mahout meetup at JTeam in Amsterdam, February 2011. intro slides
  • Mahout clustering - 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.
  • Practical Machine Learning - Slides from Biju B and Jaganadh G, FOSSMEET-NITC, Calicut, India, February 2011.
  • Mahout at AlphaCSPs The Edge 2010 (pdf) - slideshare - Slides from Ariel Kogan AlphaCSP's The Edge, December 2010.
  • Intelligent data analysis with Apache Mahout - Slides from Isabel Drost, Devoxx Antwerp, November 2010.
  • Apache Mahout introduction - Slides from Isabel Drost, codebits Lisbon, November 2010.
  • Apache Mahout - Making Data Analysis Easy - Slides from Isabel Drost, Apache Con US Atlanta, November 2010.
  • Practical Machine Learning - Slides from Jaganadh G, BarCamp Kerala 9, November 2010.
  • Mahout and its new classification framework - Slides from Ted Dunning, SDForum, November 2010.
  • Distributed Item-based Collaborative Filtering with Apache Mahout - Slides from Sebastian Schelter, Hadoop Get Together Berlin, October 2010.
  • Hidden Markov Models for Mahout - Slides from Max Heimel, Hadoop Get Together Berlin, October 2010.
  • Apache Mahout Mammoth Scale Machine Learning - Slides from Robin Anil, OSCON 2010.
  • Intro to Apache Mahout - Slides from Grant Ingersoll, RTP Semantic Web Group.
  • Case study: Biometric Databases and Hadoop - Slides from Jason Trost, Hadoop Summit 2010.
  • Spam Fighting at Yahoo
  • Web Mining with Ken Krugler
  • Keynote on intelligent search - Slides from Grant Ingersoll, Berlin Buzzwords, June 2010.
  • Simple co-occurrence-based recommendation on Hadoop - Slides from Sean Owen, Berlin Buzzwords, June, 2010.
  • Introduction to Collaborative Filtering using Mahout - Slides from Frank Scholten, Berlin Buzzwords, June, 2010.
  • Introduction to Scalable Machine Learning - 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.
  • Mahout in 10 minutes - 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.
  • Mahout at Apache Con US - 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 - Slides from a talk on Mahout at FrOSCon in Sankt Augustin, Isabel Drost, August 2009.
  • Mahout at DAI group TU Berlin - Slides from a talk on Mahout at the DAI Laboratories TU Berlin, Isabel Drost, July 2009.
  • Mahout at Machine Learning Group TU Berlin - 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.
  • Mahout at Google Zürich - Slides from a Google tech-talk on the past, present and future of Mahout, Isabel Drost, May 2009.
  • Hadoop user group UK - Slides from a talk on April 14, 2009 at the Hadoop User Group UK in London, Isabel Drost, April 2009.
  • BI Over Petabytes: Meet Apache Mahout - 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. (slides)
  • 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
  • Apache Lucene - Mach's wie Google - 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