Building a Data Science as a Service Platform in Azure with Databricks
Summary
Building a data science as a service platform with Azure and Databricks involves identifying various user personas across an organization and then using tools like AutoML and MLflow to enable them. The video demonstrates how Databricks provides AutoML, managed MLflow, and MLflow model serving to support different user personas and enable them to build and deploy machine learning models.
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