Last month, my colleague Aaron Yan published a broad overview of Automattic’s new Experimentation Platform (ExPlat). This month, we’ll dive deeper into ExPlat’s architecture and design, explain how the landscape at Automattic informed our architectural decisions, and describe the platform’s main components. Future posts will share details on each component and other aspects of experimentation … Continue reading Architecting ExPlat: Automattic’s New Experimentation Platform
Tag: Data Science
Teaching Python to Beginners
Vicki Boykis shares some tips on how to teach beginners to code.
… Continue readingFive Paths to Automattic
Greg, Anna, Anand, Anna, and Robert — who come from a variety of backgrounds ranging from fullstack software development to linguistics, hardcore math, and more — share how they came to work with data at Automattic.
… Continue readingHow to Avoid Statistical Bootstrapping Pitfalls
Yanir Seroussi shares some insight into the common pitfalls of statistical bootstrapping and how to avoid them.
… Continue readingUsing ML for Campaign Optimization: Our Journey to Marketing Science at Automattic
Demet on using pipe to segment and study how users respond to marketing email campaigns.
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Data for Breakfast 