Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   R

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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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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A Quick Benchmark of Hashtable Implementations in R

UPDATE: I am humbled and thankful to have had so much feedback on this post! It started out as a quick and dirty...read more

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High-performance Computing with Amazon’s X1 Instance – Part II

When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways to...read more

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A Summary of Using k-NN in Production

This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: An Introduction to Using k-NN in Production. If you...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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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 research...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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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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Using R and Python for Common SAS Functions

SAS is the recognized incumbent in the analytics, statistics and data science tool space. As the software celebrates its 50th birthday this year,...read more

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The R Data I/O Shootout

We pit newcomer R data I/O package, feather, against popular packages data.table, readr, and the venerable saveRDS/writeRDS functions from base R. While feather...read more

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Visualizing Machine Learning with Plotly and Domino

This post was contributed by Chelsea Douglas, a Software Engineer at Plotly. Want to play with the code from this post? Visit the...read more

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Open Source Winning Against Proprietary Data Science Vendors

With the recent publication of Gartner’s Magic Quadrant for Advanced Analytics, we wanted to know how proprietary data science software vendors were faring...read more

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Genomic Ranges: An Introduction to Working with Genomic Data

To view the code that generated this blog post, check out Jack Fu's project here on Domino Data Lab. This is a guest...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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