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readme: consolidate intro #7906

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30 changes: 8 additions & 22 deletions README.rst
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Expand Up @@ -18,33 +18,19 @@
**Data Version Control** or **DVC** helps you develop reproducible machine
learning projects:

#. Version your data and models.
#. **Version** your data and models. Store them in your cloud storage but keep
their version info in your Git repo.

#. Connect them to your code and parameters to form a pipeline.
#. **Iterate** fast with lightweight pipelines. When you make changes, only run
the steps impacted by those changes.

#. Modify data, code, or parameters and run your modified pipeline.
#. **Track** experiments in your local Git repo (no servers needed).

#. Iterate and track each experiment from the command line or `VS Code
#. **Compare** any data, code, parameters, metrics, or plots from the command
line or in `VS Code
<https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_.

#. Share, compare, and reconstruct experiments.

**Why DVC?**

#. **Store** data and models (big) in your cloud storage, but keep their version
info (small) in your Git repo.

#. **Iterate** fast with straightforward YAML pipelines. When you make changes,
only run the steps impacted by those changes.

#. **Track** experiments in your local Git repo (no servers needed) and `VS Code
<https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_.
Choose which to keep and share.

#. **Compare** any data, code, parameters, metrics, or plots and analyze however
you want.

#. **Reconstruct** anyone's experiment with a single command.
#. **Share** experiments and automatically reproduce anyone's experiment.

.. contents:: **Contents**
:backlinks: none
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