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Shreya Shankar — Operationalizing Machine Learning
Gradient Dissent: Conversations on AI
How to Hire a Data Scientist or ML Engineer?
Kubernetes is a way for data scientists to interface with these machines Kubernetes this might be a lot but some way for them to access the machines that you have in your computing so that's one thing I think another big thing is like once you get to like production level stuff right or if you have data pipelines at your company you need to have some sort of workflow scheduler something to define like a DAG and then execute those DAGs air flow is really tried and true it will work. They also have a nice Python DSL to be able to define DAGs they have a nice UI to trigger the DAG and I have a niceUI to backfill the
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