Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

For the Internet of Things, the More Things the Merrier

This was one of many fascinating sessions at the Data Science Pop-up in Austin, Texas. Don't miss the next opportunity to learn more

The “Joel Test” for Data Science

It's the sixteenth anniversary of Joel Spolsky's "Joel Test," which he described as a "highly irresponsible, sloppy test to rate the quality more


Reproducible Research in Computational Sciences

This guest post was written by Arnu Pretorius, a Masters student in Mathematical Statistics at the MIH Media Lab, Stellenbosch University. Arnu's more

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Model-Based Machine Learning and Probabilistic Programming in RStan

In this recorded webcast, Daniel Emaasit introduces model-based machine learning and related concepts, practices and tools such as Bayes' Theorem, probabilistic programming, more


Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a data science platform, more vendors are claiming they have one. Increasingly, we see companies more

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An Introduction to Model-Based Machine Learning

This guest post was written by Daniel Emaasit, a Ph.D Student of Transportation Engineering at the University of Nevada, Las Vegas. Daniel's more

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Providing Digital Provenance: from Modeling through Production

At last week's useR! R User conference, I spoke on digital provenance, the importance of reproducible research, and how Domino has solved more

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Announcing Enhanced Apache Spark Support

Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured more

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Announcing: Data Science Pop-Up Los Angeles

We're proud to announce Data Science Pop-up Los Angeles, the 5th event in our Data Science Pop-up series. Being held in L.A., more


Orchestrating Pipelines with Luigi and Domino

Building a data pipeline may sound like a daunting task. In this post, we will examine how you can use Luigi - more


Ugly Little Bits of the Data Science Process

This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of more

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Moving Academic Researchers into a Corporate Data Science World

This webinar was recorded on May 25, 2016 There are big cultural differences between data science practices in academic and corporate settings. more


Better Knowledge Management for Data Science Teams

We’re excited to announce a set of big new features that make it easier for you to find and reuse past data more


Building and Delivering Risk Models to Global Insurance Companies

We’re excited to share our latest customer case study, about how KatRisk, a leading catastrophe risk modeling firm, used Domino to deploy more

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“Unit testing” for data science

An interesting topic we often hear data science organizations talk about is “unit testing.” It’s a longstanding best practice for building software, more


Data Science: Just One More Way That Donald Trump is Different

If you’re a data scientist interested in working in politics, don’t bother applying to the Trump campaign — but Hillary has a more

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