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start: reader instructions (in index pages) #4000

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2 changes: 1 addition & 1 deletion content/docs/sidebar.json
Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@
},
{
"slug": "experiment-management",
"source": false,
"source": "experiment-management/index.md",
"children": ["experiments", "visualization"]
}
]
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4 changes: 4 additions & 0 deletions content/docs/start/data-management/index.md
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Expand Up @@ -15,3 +15,7 @@ We can also build and version pipelines to capture our data workflows stage by
stage, from raw data and its pre-processing, through feature engineering and ML
model training, and up to evaluation (performance metrics), visualization, or
other post-processing.

## How to use the Get Started

...
17 changes: 17 additions & 0 deletions content/docs/start/experiment-management/index.md
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@@ -0,0 +1,17 @@
---
title: 'Get Started: Experiment Management'
description:
'Get started with experiment management and visualization in DVC, without
bloating Git history.'
---

# Get Started: Experiment Management

Let's look at DVC's features from the perspective of machine learning experiment
management. This includes bootstrapping, running and queueing experiments
(possibly in parallel), as well as visually comparing the results to commit the
best ones to Git.
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## How to use the Get Started

...
2 changes: 1 addition & 1 deletion redirects-list.json
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Expand Up @@ -45,7 +45,7 @@
"^/doc/start/data-and-model-access(/.*)?$ /doc/start/data-management/data-and-model-access 302",
"^/doc/start/data-pipelines(/.*)?$ /doc/start/data-management/data-pipelines 302",
"^/doc/start/metrics-parameters-plots(/.*)?$ /doc/start/data-management/metrics-parameters-plots 302",
"^/doc/start/experiments$ /doc/start/experiment-management/experiments 302",
"^/doc/start/experiments$ /doc/start/experiment-management 302",
"^/doc/start/experiments/visualization$ /doc/start/experiment-management/visualization 302",
"^/doc/tutorial(/.*)?$ /doc/start",
"^/doc/tutorials(/.*)? /doc/start",
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