Predicting winners of the Rugby World Cup

This a guest post by Arnu Pretorius For the sake of brevity, not all the relevant data and code are displayed in this post but can...

Better interactive data science with Beaker and Rodeo

Domino has offered support for IPython/Jupyter for a while, but we recently added support for two newer, up-and-coming tools for interactive data science: Beaker Notebooks, and...

To Jupyter and beyond

TLDR; Domino now supports Jupyter with R, Python, and Julia kernels as well as terminal access. It now renders ipynb files in the browser, letting you...

Faster model tuning and experimentation

Domino provides a great way to iterate on analytical models by letting you run many experiments in parallel on powerful hardware and automatically track their results....

Reflections on “buy vs build”

“Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections on the topic, based on my...

Building an open product for power users

This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than building our own custom version...

10 interesting ways to use data science

There's buzz everywhere these days about exciting applications of data science, especially related to machine learning. While the majority of the media attention focuses on big...

Tales from direct sales email outreach

Direct email outreach is one of our sales channels: we find data scientists working at interesting companies and email them. We've refined our template through a...

Topic modeling in 9/11 news articles

This is a guest post by Dan Morris. The interactive dashboard and the code are also available. This post describes a project to visualize topics in...

Interactive charts with Plotly and Domino

We've created a sample project with an IPython Notebook that uses Plotly's widgets to create beautiful interactive charts. Read on to see how you can use...

How to do factor analysis

This is a guest post by Evan Warfel. The code and results are available on Domino. Background P-values. T-tests. Categorical variables. All are contenders for the...

Interactive dashboards with knitr and htmlwidgets

Introduction htmlwidgets for R is a nifty R package that lets you easily generate interactive visualization. There are already widgets for interactive time series charts, 3D...

How to get started with the Data Science Bowl

I am thrilled to share a Domino project we’ve created with starter code in R and Python for participating in the Data Science Bowl. Our starter...