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Causal Inference and Machine Learning: In Economics, Social, and Health Sciences - Hardcover

Yuksel, Mutlu; Aydede, Yigit

 
9781032820415: Causal Inference and Machine Learning: In Economics, Social, and Health Sciences
Hardcover
ISBN 10: 1032820411 ISBN 13: 9781032820415
Verlag: Chapman and Hall/CRC, 2025

Inhaltsangabe

Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigorous yet accessible roadmap for using data to answer real-world policy questions.

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Über die Autorin bzw. den Autor

Mutlu Yuksel is a Professor of Economics at Dalhousie University, Canada, and an applied microeconomist whose research spans labor, health, and development. His recent work applies machine learning and high-dimensional data to complex policy questions. He has received teaching awards and co-founded the ML Portal to support research and training in social and health policy.

Yigit Aydede is the Sobey Professor of Economics at Saint Mary's University, Canada, and an applied economist working at the intersection of econometrics, machine learning, and artificial intelligence (AI). He teaches data analytics and serves as Faculty in Residence at the Sobey School of Business and as an Affiliate Scientist at Nova Scotia Health. Aydede is also the co-founder of Novastorms.ai and the ML Portal, both focused on data-driven public policy and health research.

Von der hinteren Coverseite

Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigorous yet accessible roadmap for using data to answer real-world policy questions.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
1032820411
ISBN 13 
9781032820415
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
840
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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Osnabrück
Niedersachsen
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Deutschland