Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)

Atin Basuchoudhary, James T. Bang, Tinni Sen

  • 出版商: Springer
  • 出版日期: 2017-12-28
  • 售價: $2,328
  • 貴賓價: 9.5$2,212
  • 語言: 英文
  • 頁數: 94
  • 裝訂: Paperback
  • ISBN: 3319690132
  • ISBN-13: 9783319690131
  • 相關分類: Economy 經濟學

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This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.