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Merge pull request #1620 from utkarshsingh99/patch-2
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grammar fix(es)
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jorgeorpinel authored Jul 24, 2020
2 parents d04c88a + 95f6949 commit 72cca61
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8 changes: 4 additions & 4 deletions content/docs/command-reference/dag.md
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## Description

A data pipeline, in general, is a series of data processing
[stages](/doc/command-reference/run) (for example console commands that take an
[stages](/doc/command-reference/run) (for example, console commands that take an
input and produce an <abbr>output</abbr>). A pipeline may produce intermediate
data, and has a final result.

Data processing or ML pipelines typically start a with large raw datasets,
include intermediate featurization and training stages, and produce a final
model, as well as accuracy [metrics](/doc/command-reference/metrics).
Data processing or ML pipelines typically start with large raw datasets, include
intermediate featurization and training stages, and produce a final model, as
well as accuracy [metrics](/doc/command-reference/metrics).

In DVC, pipeline stages and commands, their data I/O, interdependencies, and
results (intermediate or final) are specified in `dvc.yaml`, which can be
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