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Update content/docs/start/data-pipelines.md
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jorgeorpinel authored Jul 31, 2020
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Expand Up @@ -300,10 +300,9 @@ important problems:
and which commands will generate the pipeline results (such as 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 training, save the results, and even produce reports
about the whole process. See [CML.dev](https://cml.dev/) for some examples.
- _Continuous Delivery and Continuous Integration (CI/CD) for ML_ - describing
projects in way that it can be reproduced (built) is the fist necessary step
before introducing CI/CD systems.

## Visualize

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