Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

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...read more

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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 3.6...read more

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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 users...read 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 the...read more

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[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 advantages...read more

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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,...read more

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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 a...read 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. If...read 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 Python...read 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,...read 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 dirty...read more

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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. Justin...read more

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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 to...read more

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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...read more

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High-performance Computing with Amazon’s X1 Instance

We’re excited to announce support for Amazon’s X1 instances. Now in Domino, you can do data science on machines with 128 cores and...read more

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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,...read more

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