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Machine-learning Techniques in Economics

New Tools for Predicting Economic Growth

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Seitenzahl
94 Seiten
Lesezeit
4 Stunden

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Focusing on the intersection of machine learning and economics, this book presents a framework for predicting economic growth through advanced data analytics. It serves as both a guide for economists looking to leverage machine learning techniques and an exploration of the technology's growing relevance in addressing economic inquiries. The author emphasizes the transformative potential of these advancements in computing, highlighting machine learning as an innovative tool for economic analysis.

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Machine-learning Techniques in Economics, Atin Basuchoudhary, James T. Bang, Tinni Sen

Sprache
Erscheinungsdatum
2018
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