Do natural language processing tools from Amazon and Google contain racial and gender bias? Charles Earl investigates.
Charles Earl shares the insights he gleaned after hearing a talk from Dr. Christo Wilson about ethics in online behavioral experiements.
Demet on using pipe to segment and study how users respond to marketing email campaigns.
Cameron Davidson-Pilon talks to the Automattic data scientists about his work post-Shopify, data practices, and how data scientists can best serve their organizations.
Charles Earl shares what he learned from this year's conference.
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.