learn how to use a separate Databricks Feature Store to create new features, explore and re-use existing features, select features for training and scoring machine learning models, and publish features for inferencing in other Databricks workspaces.
Feature Store is a centralized repository of features that enables feature sharing and discovery across an organization and also ensures that the same feature computation code is used for model training and inference.
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Notebook utilized in the video:
https://docs.databricks.com/_static/notebooks/machine-learning/feature-store-taxi-example.html
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