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.
Demet gives us an overview of pipe, Automattic's machine learning pipeline.
This week, Charles shares a couple of talks he enjoyed on neural networks at Georgia Tech's Theoretical Foundation of Deep Learning conference.
Check out Demet's data-driven analysis of communication at Automattic.