Domino Data Science Blog

At the Intersection of Data Science and Engineering

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 more

,   ,   

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 more

,   ,   

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 more

,   ,   ,   ,   

Announcing: Data Science Pop-up Los Angeles

We're proud to announce Data Science Pop-up Los Angeles, the 5th event in our Data Science Pop-up series. Being held in L.A., more


Orchestrating Pipelines with Luigi and Domino

Building a data pipeline may sound like a daunting task. In this post, we will examine how you can use Luigi - more


The ugly little bits of the data science process

This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of more

,   ,   

Moving Academic Researchers into a Corporate Data Science World

This webinar was recorded on May 25, 2016 There are big cultural differences between data science practices in academic and corporate settings. more


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 more


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 more

,   ,   ,   

“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, more


Data Science: Just One More Way That Donald Trump is Different

If you’re a data scientist interested in working in politics, don’t bother applying to the Trump campaign — but Hillary has a more

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, more

,   ,   

[Video] Making data science FAST: Survey of GPU accelerated tools

This talk took place at the Domino Data Science Pop-up in Austin, TX on April 13, 2016 In this talk, Mazhar Memon, more


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 more

,   ,   

[Video] How Machine Learning Amplifies Inequality in Society

This talk took place at the Domino Data Science Pop-up in Austin, TX on April 13, 2016 In this talk, Mike Williams, more


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 more

,   ,   
Next page