Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   Nick Elprin

Introducing Domino 2.0

Web-scale Model Deployment and Much More When we began building Domino, we believed we would make the best product by deeply understanding the...read 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 get...read 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 agility...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

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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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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 of...read more

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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 describing...read more

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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 science...read more

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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 its...read 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, but...read more

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Visual Logic Authoring vs Code

At some point in their careers, almost every data scientist has written code to perform a series of steps, and thought, “It would...read more

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Image diffing with CSS tricks

We've been hard at work delivering exciting new features in Domino. Our latest release included a lot, including the ability to import/share data...read more

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...read more

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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:...read more

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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...read more

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...read more

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