Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Data Science at Instacart: Making On-Demand Profitable

In this Data Science Popup session, Jeremy Stanley, VP of Data Science at Instacart, gives an inside look at how Instacart uses data science...read more

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Practical Data Science at Gusto and General Assembly

In this Data Science Popup panel led by Michael Manapat, Product and Machine Learning at Stripe, we learn about practical applications of data...read more

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How Atlassian Uses Data Science to Improve Collaboration

Christy Bergman, Data Scientist at Atlassian, gives an inside look at how they use data science to improve user onboarding and collaboration. This...read more

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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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Fitting Gaussian Process Models in Python

Written by Chris Fonnesbeck, Assistant Professor of Biostatistics, Vanderbilt University Medical Center. You can view, fork, and play with this project on the...read more

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Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment setup...read more

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Announcing Domino for Good – Our program for nonprofits & students

Last week at our Data Science Popup, we announced Domino for Good, our program to help students and nonprofits use Domino for their...read more

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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 policy...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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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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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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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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