Accenture Global Solutions Limited

Phillip Henry Rogers

Andrew E Fano

David William Vinson

Allan Enemark

Joshua Neland

Tripti Saxena

Jana A Thompson

Implementations are directed to receiving a set of training data including a plurality of data points, at least a portion of which are to be labeled for subsequent supervised training of a computer-executable machine learning (ML) model, providing at least one visualization based on the set of training data, the at least one visualization including a graphical representation of at least a portion of the set of training data, receiving user input associated with the at least one visualization, the user input indicating an action associated with a label assigned to a respective data point in the set of training data, executing a transformation on data points of the set of training data based on one or more heuristics representing the user input to provide labeled training data in a set of labeled training data, and transmitting the set of labeled training data for training the ML model.

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Half Moon Bay, CA, United States of America

Phillip Henry Rogers