machine learning

This post discusses creating a local data science workbench for local, production software-like development workflows. ...

Risk qualification is a useful but under-utilized technique in software engineering. Used mostly in high-criticality domains, qualifying risk can be a useful tool for managing engineering work and building better software systems. ...

My incredible colleague Ellen wrote an excellent piece about the importance of Data Quality management in data-driven products and projects.

This article is the first in a series written by my colleagues on deploying machine learning continuously.

Amber Case studies humans and computers and how humans interact with computers. Some years ago I had the chance to hear her speak, and was moved by how she described our interface patterns with computers and computing, and how she accurately and adeptly assessed the cycles of computing trends in the industry. I finally got around to reading her book, Calm Technology, and have found it useful in my professional experiences. ...

My wonderful colleagues Lucy and Kiran wrote a wonderful blog post about anti-patterns in Data Lake projects.