I’ve been looking forward to coming back to my series on MLOps, the basics, the stuff everyone thinks is rocket science, but is not. At least the Data Engineering part is not.
Last time we talked about Feature Stores and their critical role in the Machine Learning lifecycle. The next obvious step in the process would be to train a model of those features…
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