This week, Carly, Demet, and Charles bring you some interesting material on tech and the humanities, experimentation culture, and eliminating bias in testing.
Charles Earl shares what he learned from this year's conference.
This week, Boris, Xiao, and Carly share recent reads about MOOCs, collusion in AI pricing, and generating fake news with artificial intelligence.
Yanir reflects on how data scientists at Automattic work to improve customer retention.
Demet takes you deep into pipe, a tool that allows anyone at Automattic to build solid machine learning models.
Richard Brath talks to Automattic data visualization enthusiasts about the power of text in conveying the results of data science.
Boris shares a paper and a podcast all about the science of success.