Paco Nathan
Learning Group,
O'Reilly Media;
Advisor for
Amplify Partners;
with 30+ years tech industry experience, ranging from Bell Labs to early-stage start-ups.
Known as a "player/coach" Data Scientist, with core
expertise in machine learning, distributed systems, functional programming, cloud computing.
Cited in 2015 as one of the
Top 30 People in Big Data and Analytics
by Innovation Enterprise.
upcoming events:
recent talks:
Big Data Spain 2016 keynote - Has AI Arrived?
Big Data Spain 2015 keynote - Data Science in 2016: Moving Up
SF Bay ACM: Data Science Reinvents Learning?
misc:
- JupyterCon NY 2017 video interviews, O'Reilly Media (2017-08-24)
- "Humans in the Loop" Domino Data Lab (2017-08-16)
- "Paco Your Bags And Go To JupyterCon" Partially Derivative (2017-06-28)
- nbtransom PyPi (2017-06-25): Jupyter notebook support for human-in-the-loop design pattern, where people and machines collaborate on documents.
- Paco Nathan: «Hay mucha gente hablando con robots por Internet, pero no lo saben» La Voz Galicia (2017-05-27):
- Why self assessments improve learning O'Reilly Media (2017-05-09): introduction of formative assessment into online learning
- PyTextRank PyPi (2017-03-13): Python implementation of TextRank algorithm by Mihalcea, et al.
- 虚幻世界 / Xūhuàn shìjiè Synecdoche (2017-02-25)
- Learning, Cider, and Performance Art with Paco Nathan Partially Derivative (2017-02-21)
- Sweet Home Al-Obama Synecdoche (2017-02-12)
- How Do You Learn? O'Reilly Media (2016-09-19)
- 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 2014", The Data Guild (2014)
- "The Evolution of Big Data Platforms and People", DC2 blog (2014)
- "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
- Learning Apache Mesos O'Reilly Media (2014-01-15)
- Apache Mesos: Open source datacenter computing O'Reilly Media (2014-01-08)
- 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)
- Liber 118: The Battle of Oakland, Liber 118 Press (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)
- "nEuroRancid", The Locus Index to Science Fiction: 1984-1998 (1995)
- "Jackson Wins, Feds Lose", Wired (1993)
- "Timewave Surfer Dudes", bOING-bOING (1992)
- "LoTR: The Two Towers" video game, Interplay (1992)
