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Specialized workflows

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

Topic Describes...
Composable ML Build custom blueprints using built-in tasks and custom Python/R code.
Date/time partitioning for non time series modeling Use time-aware (not time series) modeling.
Unsupervised learning Work with unlabeled or partially labeled data to detect patterns, such as anomalies and clusters).
Multilabel modeling Perform modeling in which each row in a dataset is associated with one, several, or zero labels.
Visual AI Apply visual learning to image data.
Location AI Use geospatial analysis on spatial data.

Updated December 4, 2021
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