Data Science

Yanir Seroussi

How to Avoid Statistical Bootstrapping Pitfalls

Yanir Seroussi shares some insight into the common pitfalls of statistical bootstrapping and how to avoid them.

charlescearl

Gender and Racial Bias in Cloud NLP Sentiment APIs

Do natural language processing tools from Amazon and Google contain racial and gender bias? Charles Earl investigates.

Demet Dagdelen

Using 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.

Yanir Seroussi

Data Science Insights from Cameron Davidson-Pilon

Cameron Davidson-Pilon talks to the Automattic data scientists about his work post-Shopify, data practices, and how data scientists can best serve their organizations.

Simon

Looker NYC Meetup

Like any company, Automattic is constantly on a journey to get better: sometimes we have the good fortune of finding improvement in leaps and bounds, but most of the time, we move slowly, we make small changes, finding iterative wins and moving down the to‑do list. I think probably this is how most progress happens:…