Subject archive for "domino"
With the increased adoption of cloud computing and demand for managed applications and services, we are now able to offer a new choice of Software as a service (SaaS) deployment model for customers who need it. Let’s explore the organizational components that influence whether SaaS is the right choice for your organization when it comes to data science and MLOps.
By Vineet Goel12 min read
A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA). As I mentioned in my prior blog, with DCA you can import a dataset, make a few data visualizations, and deploy those data visualizations as a Python data app - all through a point-and-click interface. At the end of this, you have a perfectly executable Python or R script that follows the steps that you took in the UI.
By Jack Parmer3 min read
R Markdown is one of those indispensable tools in a data scientist’s toolbox that provides speed and flexibility with the last-mile problem of getting your work into production. Speed comes from how easy it is to host and schedule R Markdown reports. Flexibility comes from the wide array of options for production output. Whether it is prototyping an intermediate result or producing quality output that will put your work in its best light, R Markdown has a lot to offer.
By Josh Poduska10 min read
By Colin Goyette17 min read
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