Fresh data insights from Automattic.
Dive into our blog where we turn complex data into clear, actionable insights. Stay tuned for fresh perspectives and expert advice from the heart of Automattic’s data team.
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Do New Year’s Resolutions Work? Data Suggests They Do!
Do blogs started as New Year’s resolutions have staying power? Boris investigates.
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We’re Reading About Artificially Intelligent Harry Potter Fan Fiction, Verifying Online Identities, and More
The datums have rounded up some great links for you in the field of data science.
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Doing the Math on Key Words and Top Level Domains
Boris Gorelike does some analysis on the keywords associated with top level domains.
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We’re Reading About Simplifying Without Distortion and Adversarial Image Classification
Boris and Carly share what they’ve been reading in the field of data science.
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Data Speaker Series: Shaun Lindsay on the Data Science of Marketing
Learn how home care company Honor uses data science to aid marketing efforts.
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We’re Reading About Bias in AI, SpaceX, and More
In this installment, we’ve got links to great reading in the field of data science, courtesy of Yanir, Robert, Demet, and yours truly.
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Data Speaker Series: Charles Earl on Discriminatory Artificial Intelligence
Charles Earl on identifying and overcoming bias in machine learning.
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Easier A/B Tests with Automattic’s Own Tool, Hypotheses
Sirin Odrowski introduces you to how we run A/B tests at Automattic using a tool we built called Hypotheses.
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This Week in Data Reading (and Watching!)
This week, we’re bringing you links from Charles, Simon, and Carly featuring neural networks, a video advocating for morality in algorithms, and incredible music made by machines.
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Data Speaker Series: Thorsten Dietzsch on Building Data Products at Zalando
In the first of our Data Speaker Series posts, Thorsten Dietzsch shares how data products are managed at Zalando, a fashion ecommerce company.
Data for Breakfast 