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Update tutorial-enable-recurrent-materialization-run-batch-inference.md
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articles/machine-learning/tutorial-enable-recurrent-materialization-run-batch-inference.md

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# Tutorial 4: Enable recurrent materialization and run batch inference (preview)
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This tutorial series shows how features seamlessly integrate all phases of the machine learning (ML) lifecycle: prototyping, training, and operationalization.
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This tutorial series shows how features seamlessly integrate all phases of the machine learning lifecycle: prototyping, training, and operationalization.
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The first tutorial showed how to create a feature set specification with custom transformations, and then use that feature set to generate training data. The second tutorial showed how to enable materialization and perform a backfill. The third tutorial showed how to experiment with features as a way to improve model performance. It also showed how a feature store increases agility in the experimentation and training flows.
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