Yanir reflects on how data scientists at Automattic work to improve customer retention.
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Demet takes you deep into pipe, a tool that allows anyone at Automattic to build solid machine learning models.
… Continue readingMissed Opportunities for Using Text in Data Visualization
Richard Brath talks to Automattic data visualization enthusiasts about the power of text in conveying the results of data science.
… Continue readingLinks Worth Sharing: What Makes People Successful
Boris shares a paper and a podcast all about the science of success.
… Continue readingIntroducing pipe, The Automattic Machine Learning Pipeline
Demet gives us an overview of pipe, Automattic's machine learning pipeline.
… Continue readingLinks Worth Sharing: The Training and Security of Neural Networks
This week, Charles shares a couple of talks he enjoyed on neural networks at Georgia Tech's Theoretical Foundation of Deep Learning conference.
… Continue readingThe Most Beautiful Social Network: the Structure of Communication at Automattic
Check out Demet's data-driven analysis of communication at Automattic.
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