Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   data science

Data Science at Instacart: Making On-Demand Profitable

In this Data Science Popup session, Jeremy Stanley, VPĀ 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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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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Announcing: Data Science Pop-up San Francisco

We're excited to announceĀ 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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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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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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nteract: An open-source, desktop-based, interactive computing application

Today, along with our partners at Plot.ly, we're announcing a significant investment in the open-source nteract project. nteract is a desktop-based, interactive computing...read more

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Join Us: An Introduction to Using k-NN in Production

Join us next Wednesday, October 5 for a webinar hosted by our Chief Data Scientist covering best practices for using k-NN in production....read more

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Data Science in Banking: Past, Present, and Future

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

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Using Apache Spark to Analyze Large Neuroimaging Datasets

This article was written by Sergul Aydore, Ph.D., and Syed Ashrafulla, Ph.D. Sergul and Syed received their Ph.D.s in Electrical Engineering in 2014...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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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 research...read 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, and...read 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 many...read 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 the...read more

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