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.
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.
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