| ||Ask HN: What is your ML stack like?|
387 points by imagiko on Nov 12, 2019 | hide | past | favorite | 131 comments |
|How did your team build out AI/ML pipelines and integrated it with your existing codebase? For example, how did your backend team(using Java?) work in sync with data teams (using R or python?) to have minimal rewriting/glue code as possible to deploy models in production. What were your architectural decisions that worked, or didn't?|
I'm currently working to make an ML model written in R work on our backend system written in Java. After the dust settles I'll be looking for ways to streamline this process.
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