# Specialized workflows
URL: https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/index.html

> Leverage the support for alternative workflows for specialized data types such as anomaly detection, multilabel modeling, Visual and Location AI, and date/time partitioning.

# Specialized workflows

The following sections describe alternative workflows for a variety of specialized data types:

| Topic | Description |
| --- | --- |
| Bias and Fairness | Access an index page for quick links to all Bias and Fairness content. |
| Composable ML | Build custom blueprints using built-in tasks and custom Python/R code. |
| Document AI | Learn how to use PDF documents as an input to modeling. |
| Location AI | Use geospatial analysis on spatial data. |
| Unsupervised learning | Work with unlabeled or partially labeled data to detect patterns, such as anomalies and clusters. |
| Visual AI | Apply visual learning to image data. |
| Multilabel modeling | Perform modeling in which each row in a dataset is associated with one, several, or zero labels. |
| OTV | Date/time partitioning for non-time series modeling. |
| Text AI resources | Access links to the DataRobot Text AI functionality for working with text and viewing insights. |

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