🛠️ Design, Develop & Maintain Scalable End-to-End ML Pipelines
Gradient Descent Weekly — Issue #8
You’ve trained a model in a notebook. It worked.You saved it as a .pkl, deployed it behind an API, and called it a day.
That’s not a pipeline.That’s a prototype.
Now imagine:
Your model retrains weekly using fresh ...
bikram-sarkar.hashnode.dev4 min read