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- # Arthur User Guide
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-
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- ## {doc}`Basic Concepts <basic_concepts>`
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- For beginners to Arthur, see our {doc}`basic_concepts` page for an introduction to Arthur and how
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- Arthur's services support monitoring machine learning models.
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-
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- ## {doc}`Arthur Quickstart <arthur_quickstart>`
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- The {doc}`arthur_quickstart` has ready-to-go code to create your first Arthur model.
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-
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- ## {doc}`Walkthroughs </user-guide/walkthroughs/index>`
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- The {doc}`walkthroughs </user-guide/walkthroughs/index>` are detailed guides that cover onboarding complex models,
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- setting up model alerts, and using Arthur enrichments to gain extra insights on model performance.
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-
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- ### {doc}`Model Onboarding </user-guide/walkthroughs/model-onboarding/index>`
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- The {doc}`Model Onboarding walkthrough </user-guide/walkthroughs/model-onboarding/index>` is a good choice to start
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- with: it covers everything you need to get your existing model integrated with Arthur.
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-
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- ## {doc}`API Query Guide <api-query-guide/index>`
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- The {doc}`api-query-guide/index` shows how to use the Arthur API, a query engine that can request the
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- information you need about your model's performance - efficiently and at scale.
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-
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- ## {doc}`Integrations <integrations/index>`
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- Arthur offers {doc}`integrations <integrations/index>` with other services to make it easy for users to add Arthur to their
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- stack.
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-
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-
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- ```{toctree}
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- :hidden:
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- :maxdepth: 2
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-
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- Basic Concepts <basic_concepts>
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- Arthur Quickstart <arthur_quickstart>
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- Walkthroughs <walkthroughs/index>
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- API Query Guide <api-query-guide/index>
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- Integrations <integrations/index>
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- ```
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