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Restyled by prettier
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restyled-commits committed Jul 31, 2020
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6 changes: 3 additions & 3 deletions content/docs/start/data-pipelines.md
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Expand Up @@ -300,9 +300,9 @@ important problems:
data to use and what commands to run to produce an ML model. Storing these
files in Git makes it easy to version and share.
- _Continuous Delivery and Continuous Integration (CI/CD) for ML_ - reproducible
ML pipelines allow CI/CD systems to retrain models on fresh
datasets with identical preprocessing and training stages, version upstream
models and datasets, and easily
ML pipelines allow CI/CD systems to retrain models on fresh datasets with
identical preprocessing and training stages, version upstream models and
datasets, and easily
[compare](https://dvc.org/doc/start/experiments#comparing-experiments) metrics
with currently deployed models.

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