Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms
暫譯: 信用數據與評分：大數據與大算法的首次勝利
Rosenblatt, Eric
- 出版商: Academic Press
- 出版日期: 2020-01-07
- 售價: $3,720
- 貴賓價: 9.5 折 $3,534
- 語言: 英文
- 頁數: 274
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0128188154
- ISBN-13: 9780128188156
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相關分類:
大數據 Big-data、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual's economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation.
- Provides insights into credit scoring goals and methods
- Examines U.S leadership in developing credit data and algorithms and how other countries depart from it
- Analyzes the growing influence of algorithms in data scoring
商品描述(中文翻譯)
《信用數據與評分：大數據與大算法的首次勝利》揭示了預測個人經濟責任的隱藏實踐。這本書由一位領先的實踐者撰寫，探討了美國在信用評分方面的領導地位對國際的影響，以及其他國家在建立自身系統時所學到的經驗。透過其全面的當代視角，這本書還探討了算法和大數據如何推動信用評分的未來。通過揭示一個新的全景和數據比較，它提供了有關法律、監管和數據操控的有用見解。
- 提供對信用評分目標和方法的見解
- 檢視美國在開發信用數據和算法方面的領導地位，以及其他國家如何偏離這一點
- 分析算法在數據評分中日益增長的影響力
