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Oxford University Press Oxford Handbook of the Sociology of Machine Learning - OUP

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Description

Explore the intersection of machine learning and social science with The Oxford Handbook of the Sociology of Machine Learning. Published by Oxford University Press, this volume provides a state-of-the-art overview of how machine learning's ability to detect patterns in large datasets affects society. Through 39 chapters, an international group of sociologists examines what sociology can gain from machine learning and how these technologies impact social structures. This book offers a forward-looking perspective on the societal implications of increasing technological complexity, making it an essential resource for researchers studying the relationship between advanced algorithms and human behavior.

Key Features

Published by Oxford University Press, this handbook provides a state-of-the-art overview of machine learning and sociology.

Contains 39 chapters written by an international group of sociologists to address key research questions.

Examines the societal implications of machine learning and its increasing complexity since the early 2000s.

Explores how sociology can utilize machine learning to gain new insights and analyze large datasets.

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