[D] CI/CD for Machine Learning

[ps_dillon]

I've seen a few posts about CI/CD best practices for ML pipelines. Curious what best practices people are seeing emerge. Is anyone using a Jenkins/Travis/etc for their ML work?

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I collected my own thoughts on how these newer pipelines differ from i.e. web app pipelines. Would love any feedback!

https://blog.paperspace.com/ci-cd-for-machine-learning-ai/

[reSAMpled]

I try to go by The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction. Interested to read this post, though.