Talks & Publications

Talks

• R and Raylib: All Fun and Games‽ NYR Conference. New York, NY. June 9, 2022.
• How Researchers and Developers Can Benefit from the Command Line. Live online master class. March 8, 2022.
• Set Your R Code Free; Turn It Into a Command-Line Tool. NYR Conference. September 9, 2021.
• Visualizing High-Dimensional Data with Python. O’Reilly Live Training. August 17, 2020.
• Scalable Anomaly Detection With Spark and SOS. Strata Data Conference. New York, NY. September 26, 2019.
• 50 Reasons to Learn the Shell for Doing Data Science. Strata Data Conference. New York, NY. September 13, 2018.
• Data Science with Unix Power Tools. NLUUG Spring Conference. Utrecht, the Netherlands. May 15, 2018.
• Everybody Can Knit With {knitractive}. amst-R-dam. Amsterdam, the Netherlands. March 1, 2018.
• Create Interactive Maps in Seconds with R and Leaflet. Strata Data Conference. London, UK. May 24, 2017.
• The Polyglot Data Scientist. New York Open Statistical Programming Meetup. New York, NY. June 23, 2016.
• The Polyglot Data Scientist. Strata + Hadoop World. London, UK. June 2, 2016.
• Vowpal Wabbit: The Essence of Speed in Machine Learning. Strata + Hadoop World. San Jose, CA. March 31, 2016.
• Poor Man’s Parallel Pipelines. Strata + Hadoop World. London, UK. May 7, 2015.
• Data Science Toolbox and the Importance of Reproducible Research. Strata + Hadoop World. Barcelona, Spain. November 20, 2014.
• Predicting at the Command Line. 1st International Conference on Predictive APIs and Apps. Barcelona, Spain. November 17, 2014.
• Building a Data Science Toolbox. Data Science London Meetup. London, UK. April 10, 2014.
• Obtaining, Scrubbing, and Exploring Data at the Command Line. New York Open Statistical Programming Meetup. New York, NY. January 29, 2014.
• Sudo Make Me a Visualization! Strata Ignite. New York, NY. October 28, 2013.
• Algorithms for Outlier Selection and One-Class Classification. NYC Machine Learning. New York, NY. November 21, 2013.

Publications

• Data Science at the Command Line, second edition. Foreword by Tim O’Reilly. Published by O’Reilly Media. August 17, 2021.
• Data Science from the Shell. The command line is a great environment for inspecting a dataset, automating data science tasks, and more. Hit the ground running with this playlist. June 12, 2020.
• Outlier Selection and One-Class Classification. PhD thesis. Supervised by Eric Postma and Jaap van den Herik. Tilburg University, June 11, 2013.
• Ranking Images on Semantic Attributes using Human Computation. Computational Social Science and the Wisdom of Crowds (NIPS 2010). Whistler, Canada. October 8, 2010.
• Outlier Detection with One-Class Classifiers from ML and KDD. International Conference on Machine Learning and Applications. Miami, FL. December 13, 2009.

Interviews

• Talk Python To Me #392: Data Science from the Command Line. Interview with Michael Kennedy for the Talk Python To Me Podcast. December 2, 2022.
• SDS #531: Data Science at the Command Line. Interview with Jon Krohn for the SuperDataScience Podcast. December 14, 2021.
• Five reasons why researchers should learn to love the command line. I spoke with Jeffrey Perkel at Nature about the benefits of the Unix command line. February 2, 2021
• Interview met Transavia, DPD en Data Science Workshops (Dutch). Studio Data at Big Data Expo. Utrecht, the Netherlands. September 19, 2019.
• SE-Radio #315: Jeroen Janssens on Tools for Data Science. Interview with Felienne Hermans for Software Engineering Radio. January 23, 2018.
• Anomalies, Concerts, and the Command Line. Data Science Weekly interviews Jeroen Janssens. May 18, 2015.