High-Perfomance - Making Data Mistakes

Postmortems: The single most important keystone habit for a team (step-by-step guide)

I’m an ill-disciplined person. My habit of reading books about habit-formation is stronger than any of the habits they’ve help me form. Perhaps because of this, I’m interested in the idea of keystone habits - “a small and manageable shift or change that acts as a catalyst

Data Science

Make it work, make it right, make it fast

I first heard this phrase from Gael Varoquax (one of the core scikit-learn committers) in a talk[1], and I loved the super-concentrated wisdom of it: Make it work. First of all, get it to compile, get it to run, make sure it spits out roughly the right kind of

Data Science

How to Cheat at Data Science (with help from Centaurs and the Wizard of Oz)

What does it take to run a high-performing data science team? In this 15-minute video, I talk about two tools that I’ve found invaluable for doing just that: Wizard-of-ozzing is a technique for product discovery that can be very helpful for evaluating potential problems to work on [6:00]