Announcing: Data Science Pop-up San Francisco

We're excited to announce Data Science Pop-up San Francisco, the 6th event in our Data Pop-up Series. The day-long forum will be held in downtown San Francisco...

23 Visualizations and When to Use Them

This talk was presented live at PLOTCON 2016 in NYC on November 18, 2016. Scatterplot or bubble chart – what visualization makes the most sense for...

R vs. Python for Data Science

While the elections are over, some debates continue. R and Python are both popular programming languages for data scientists. Each has its advantages for performing data...

Exploring the Limits of Parallelized Machine Learning

This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: Machine Learning at Scale with Amazon's X1 Instance. If you missed the...

How Buzzfeed Uses Real-Time Machine Learning to Choose Their Viral Content

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016. In this presentation, Jane Kelly, Director of Data...

A Summary of Using k-NN in Production

This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: An Introduction to Using k-NN in Production. If you missed the live...

Choosing Content for Netflix: How Data Leads the Way

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016 In this presentation, Paul Ellwood, VP of Data...

Join Us: An Introduction to Using k-NN in Production

Join us next Wednesday, October 5 for a webinar hosted by our Chief Data Scientist covering best practices for using k-NN in production. The k-Nearest Neighbors...