Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Advice for Aspiring Chief Data Scientists: The Mindset You Need to Have

Nick Kolegraff is the founder of Whiteboard, a strategic innovation company focused on machine learning and AI. Previously, Kolegraff was the Chief more

Answering Questions About Model Delivery on AWS at Strata

This post is a recap of the common questions Domino answered in the booth at Strata New York. We answered questions about more

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What Your CIO Needs to Know about Data Science

What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear that model deployment is more

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Data for Good’s Inaugural Meetup: Peter Bull of DrivenData

Recently, Domino for Good hosted the inaugural meetup of the new group Data for Good. Over 40 data do-gooders came to see Peter more

Domino for Good: Collaboration, Reproducibility, and Openness, in the Service of Societal Benefit

The Path of a Data Do-Gooder When I joined Domino Data Lab to lead the Domino for Good initiative a few months ago, more


Domino now supports JupyterLab — and so much more

You can now run JupyterLab in Domino, using a new Domino feature that lets data scientists specify any web-based tools they want more


Humans in the Loop

This guest blog post from Paco Nathan dives into how people and machines collaborating together to perform work is real and not more

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Measuring Data Science Business Value

This blog post covers metrics that help data science leaders ensure their team’s work is aligned to business value. Data science managers more

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New G3 Instances in AWS – Worth it for Machine Learning?

We benchmarked AWS’s new G3 instances for deep learning tasks and found they significantly outperform the older P2 instances. The new G3 more

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Quick Tips for Getting A Data Science Team Off the Ground

This blog post provides concise tips for leaders at startups and early-stage companies to consider when getting a data science team off more

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Recommender Systems through Collaborative Filtering

This is a technical deep dive of the collaborative filtering algorithm and how to use it in practice. From Amazon recommending products more

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Data Science != Software Engineering

Domino’s guide, “What Engineering Leaders Need to Know About Data Science”, provides insights to help engineering leaders increase data science productivity and more

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Emotional Intelligence for Data Science Teams

We surveyed and interviewed some of our most successful customers to learn how they align their data science team with their business. more

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Data Science in the Enterprise: Insights from eBay, Stitch Fix, Teleon Health, and RISELab

We recently hosted a panel discussion with several data science leaders about organizational design and tooling for enterprise data science. Watch the more

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Model Deployment Powered by Kubernetes

In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Background Domino more

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Scaling Machine Learning to Modern Demands

This is a Data Science Popup session by Hristo Spassimirov Paskov, Founder & CEO of ThinkFast.   Summary Machine learning has revolutionized more

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