A Guide to Managing ML Models After Deployment

Serokell
11 min readSep 18, 2023

The journey of a machine learning engineer doesn’t stop when a model is deployed in production. It’s like having a garden-you can’t just plant the seeds and walk away, you have to keep an eye on your plants to ensure they grow well in all sorts of weather. Just like traditional gardening tools won’t help much in a hydroponic setup, monitoring machine learning systems isn’t the same as watching over regular…

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