---
title: Specialized workflows
description: 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 {: #specialized-workflows }

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


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