Paco Nathan

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Paco Nathan
Known as a "player/coach", with core expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Co-chair JupyterCon, host of Executive Briefings at The AI Conf and Strata Data. Evangelist for Computable. Advisor for Amplify Partners, Deep Learning Analytics, Recognai. Recent roles: Director, Learning Group @ O'Reilly Media; Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise. To contact:

GPG key icon0EEC 171D 3A38 7943 9E2E F23D 157E FBCA 16E9 2CF6
ORCID iD iconorcid.org/0000-0003-3167-1539

  • nbtransom, PyPi (2017-06-25): Jupyter notebook support for human-in-the-loop design pattern, where people and machines collaborate on documents.
  • PyTextRank, PyPi (2017-03-13): Python implementation of TextRank algorithm by Mihalcea, et al.
  • Exsto, GitHub (2015): Spark Exercises: text analytics, graph analytics, etc.
  • Exelixi, GitHub (2013): a pure Python framework based on Apache Mesos, for GA/GP at scale
  • Cascading.Pattern, GitHub (2013): machine learning libraries for Cascading, translating PMML to Hadoop apps
  • Cascading for the Impatient, GitHub (2013): a progressive series of introductory sample apps for Cascading
  • City of Palo Alto Open Data, GitHub (2012): Cascading and Cascalog recommender apps based on CoPA Open Data
  • Cascading.SampleRecommender, GitHub (2012): an example social recommender, based on stock Tweets
  • Getting Started on Hadoop, GitHub (2010): Hadoop streaming in Python, to analyze Enron email data set
  • TextRank, GitHub (2009): Java implementation of TextRank algorithm by Mihalcea, et al.
  • OpenSIMS, SourceForge (2004): integrates OSS tools for security management plus real-time analysis visualization
  • JFRED Chatbot Server, Robitron (1996): chatbot platform used for FringeWare eCRM, for BBC live televised Turing Test, etc.