MLOps: Building a CI/CD Pipeline for ML Models on Azure Databricks
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Most ML teams are great at training models. Very few are great at shipping them. The gap between a notebook that works and a model that reliably serves producti...
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Most ML teams are great at training models. Very few are great at shipping them. The gap between a notebook that works and a model that reliably serves producti...
> From raw data to a registered, served fine-tuned model — a production walkthrough using Databricks, Apache Spark, MLflow, and Hugging Face Transformers. --- T...