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. |