Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth (SpringerBriefs in Economics)
暫譯: 經濟學中的機器學習技術:預測經濟增長的新工具 (SpringerBriefs in Economics)
Atin Basuchoudhary
- 出版商: Springer
- 出版日期: 2018-01-08
- 售價: $2,970
- 貴賓價: 9.5 折 $2,822
- 語言: 英文
- 頁數: 100
- 裝訂: Paperback
- ISBN: 3319690132
- ISBN-13: 9783319690131
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相關分類:
經濟學 Economy
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
本書開發了一個用於預測經濟增長的機器學習框架。它也可以被視為使用機器學習(也稱為數據挖掘或數據分析)來回答經濟問題的入門書。雖然機器學習本身並不是一個新概念,但計算技術的進步以及對其在經濟問題上應用的逐漸認識,使其成為經濟學家的一個新工具。