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• Hylburt Speys Synecdoche (2016-08-22)
• Beyond the AI Winter Synecdoche (2016-07-03)
• Probabilistic Data Structures in Python O'Reilly Media (2016)
• Learn alongside innovators, thought-by-thought, in context O'Reilly Media (2016)
• #ASAPcultures Medium (2016)
• Cinco preguntas de Big Data para Paco Nathan Paradigma (2015) by Rubén Martinez
• Spark and Databricks change the data playing field | #sparkinsight SiliconANGLE (2015) by Heather Johnson, John Furrier, George Gilbert
• Top 30 People in Big Data and Analytics Innovation Enterprise (2015)
• Exsto Spark Exercises: text analytics, graph analytics, etc. (2015)
• Interview with Paco Nathan, Machine Learning Expert, and GalvanizeU Academic Advisor (2015)
• Apache Spark Developer Certification Program Databricks + O'Reilly Media (2014)
• Apache Spark Training Resources Databricks (2014)
• Distributed Development Stack O'Reilly Media (2014)
• Computational Thinking: Just Enough Math webcast O'Reilly Media (2014)
• "Whitepaper: Agricultural Systems + Data Outlook 2Q14", The Data Guild (2014)
• "The Evolution of Big Data Platforms and People", DC2 blog
• "Exclusive Paco Nathan Interview", KDnuggets (2014) by Anmol Rajpurohit
• "Is Data Scientist the right career path for you? Candid advice", KDnuggets (2014) by Anmol Rajpurohit
• Exelixi GitHub: a pure Python framework based on Apache Mesos, for GA/GP at scale
• Here's why Python and Scala aren't old news in the world of data science VentureBeat (2013-12-03) by J. O'Dell
• "Learn how to use Apache Mesos" Quick Start Tutorials for Spark, Hadoop, Chronos, Marathon, etc.
• "Play Framework Grid Deployment with Mesos" Typesafe engineering blog
• Pattern: PMML for Cascading and Hadoop KDD (2013): paper with Girish Kathalagiri presented in the PMML workshop
• "Hadoop, Mesos, Cascading, Scalding, Cascalog and Data Science", All Things Hadoop (2013) with Joe Stein
• Cascading.Pattern GitHub: machine learning libraries for Cascading, translating PMML to Hadoop apps
• Cascading for the Impatient GitHub: a progressive series of introductory sample apps for Cascading
• City of Palo Alto Open Data GitHub: Cascading and Cascalog recommender apps based on CoPA Open Data
• "Grokking Big Data with Paco Nathan", Follow The Data (2012)
• "Magic and the Corporation", Expanding Mind with Erik Davis (2012)
• TextRank GitHub: Java implementation of TextRank algorithm by Mihalcea, et al.
• Cascading.SampleRecommender GitHub: an example social recommender, based on stock Tweets
• Getting Started on Hadoop GitHub: Hadoop streaming in Python, to analyze Enron email data set
• "Hadoop Summit Speaker Interview: Paco Nathan"
• A Methodology For Cloud Computing Architecture (2008-06-29)
• Systems and methods for an autonomous avatar driver (2007-03-06)
• Systems and methods for managing a persistent virtual avatar with migrational ability (2006-11-16)
• OpenSIMS, SourceForge: integrates OSS tools for security management plus real-time analysis visualization
• "What Countermeasures Really Means", O'Reilly ONLamp (2004)
• "The Corporate Body: Liber 118 U.S. 394", Signum (2002)
• "Ninkasi: Ritual Brewmaking" (2001-09-15)
• "Liber 118 U.S. 394, non-fiction archives"
• "Corporate Metabolism", Tripzine #6 (2001)
• "FringeWare Chronology", Laughing Bone
• "Albert is top talking computer", BBC News (1999-01-28)
• "Robert Anton Wilson in Austin", Church of the SubGenius (1998)
• JFRED Chatbot Server chatbot platform used for FringeWare eCRM, for BBC live televised Turing Test, etc.
• "FRED, Milton and Barry: the evolution of intelligent agents for the Web", Advances in intelligent systems (1997)
• "Postcards from the Fringe", Austin Chronicle (1997)
• "Jackson Wins, Feds Lose", Wired (1993)
• "Timewave Surfer Dudes", bOING-bOING (1992)
• "LoTR: The Two Towers" video game, Interplay (1992)