Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Using Monte Carlo Simulations in R to Test Methodological Advances in Social Policy Research

This is a guest post written by Kristin Porter, Senior Research Associate at MDRC. MDRC is a nonprofit, nonpartisan education and social more

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Our Customers Said it Best, as Domino Named a Visionary By Gartner

The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to more

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Enabling Data Science Agility with Docker

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment more


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 more


Python 3.6 with Domino in Minutes

For Pythonistas like me, the holidays started a little early with today's release of Python 3.6. In case you haven't heard, Python more


Python for SAS Users: The pandas Data Analysis Library

This post is a chapter from Randy Betancourt's Python for SAS Users quick start guide. Randy wrote this guide to familiarize SAS more

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[Video] 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 more


[Video] A Huge Debate: 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 more


Introducing the Data Science Maturity Model

Many organizations have been underwhelmed by the return on their investment in data science. This is due to a narrow focus on tools, more


Domino raises $10.5M in funding for collaborative, reproducible data science

Today we’re announcing that we have raised $10.5 million in a funding round led by Sequoia Capital. For us, fundraising is simply more


Video – 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. more

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Gain Shell Access To Your Domino Instances

Domino offers a managed, scalable compute environment that provides push-button convenience to data scientists, whether they're interested in exploring data in a more

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, more

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A Quick Benchmark of Hashtable Implementations in R

UPDATE: I am humbled and thankful to have had so much feedback on this post! It started out as a quick and more


Wisdom From Machine Learning at Netflix

At Data By The Bay in May, we saw a great talk by Netflix's Justin Basilico: Recommendations for Building Machine Learning Software. more


High-performance Computing with Amazon’s X1 Instance – Part II

When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways more

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