> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kinetica.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Machine Learning

> Predictive analytics in Kinetica

## Topics

<CardGroup cols={2}>
  <Card title="Machine Learning Concepts" href="/content/ml/concepts">
    * [Registries](/content/ml/concepts#ml-registry)
    * [Data](/content/ml/concepts#ml-data)
    * [Models](/content/ml/concepts#ml-model)
    * [Deployments](/content/ml/concepts#ml-deployment)
    * [Audits](/content/ml/concepts#ml-audit)
  </Card>

  <Card title="SQL ML" href="/content/sql/ml">
    * [Create Container Registry](/content/sql/ml#sql-ml-create-cr)
    * [Import Model](/content/sql/ml#sql-ml-import-model)
    * [Evaluate Model](/content/sql/ml#sql-ml-evaluate-model)
  </Card>
</CardGroup>

## Product Highlights

<CardGroup cols={3}>
  <Card title="Native Model Hosting">
    Simplify your ML stack with natively registered ML models
  </Card>

  <Card title="Flexible Deployment Modes">
    Inference on-demand, continuously, or in batch and store the output in Kinetica
  </Card>

  <Card title="Auditable Inferences">
    Drill into specific inferences from a deployment and filter by input parameters
  </Card>
</CardGroup>

## How-To Guides

<CardGroup cols={2}>
  <Card title="Quick Start Guide" icon="book" href="/content/guides/quickstart-guide/index">
    Get started with Kinetica Workbench

    Length: 15 MIN
  </Card>
</CardGroup>

## Next Steps

Now that you are familiar with Kinetica's SQL capabilities, here are a few resources to check out next:

* [SQL](/content/sql/index)
* [GAdmin](/content/admin/gadmin/index)