
ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź
ML Platform Podcast
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MLOps Engineers - Top 3?
For MLOps engineers specifically, it's a little bit more complicated. I choose the technologies which are almost fundamental for the practice. Kafka is definitely fundamental all of the other. You should read at least one book about the statistics that go into machine learning. There are no that not that many books around that talk.
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