Titlebook: Learning to Quantify; Andrea Esuli,Alessandro Fabris,Fabrizio Sebastiani Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s)

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es–are integrally intertwined with identity construction and trajectories.Chapter authors examine issues of identity with participants ranging from first graders to pre-service and in-service teachers, to physics doctoral students, to show ways in which identity work is a vital (albeit still underem

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1871-7500 o be used for evaluating the quality of the returned predict.This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science,

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