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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
- Language
- Released
- 2018
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- Title
- Machine-learning Techniques in Economics
- Subtitle
- New Tools for Predicting Economic Growth
- Language
- English
- Authors
- Atin Basuchoudhary, James T. Bang, Tinni Sen
- Publisher
- Springer, Berlin
- Publisher
- 2018
- Format
- Paperback
- Pages
- 94
- ISBN13
- 9783319690131
- Category
- Social sciences, Business and Economics
- Description
- 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.