DescribeML
Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Abstract
Datasets play a central role in the training and evaluation of machine learning (ML) models. But they are also the root cause of many undesired model behaviors, such as biased predictions. To overcome this situation, the ML community is proposing a data-centric cultural shift, where data issues are given the attention they deserve, for instance, proposing standard descriptions for datasets.
Topics & Concepts
Computer scienceRoot (linguistics)Artificial intelligenceMachine learningPhilosophyLinguisticsTopic ModelingSentiment Analysis and Opinion MiningTime Series Analysis and Forecasting