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Auteur Eric ROSENBLATT |
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Credit Data and Scoring : The First Triumph of Big Data and Big Algorithms / Eric ROSENBLATT / ELSEVIER SCIENCE (2020)
Titre : Credit Data and Scoring : The First Triumph of Big Data and Big Algorithms Type de document : e-book Auteurs : Eric ROSENBLATT Editeur : ELSEVIER SCIENCE Année de publication : 2020 ISBN/ISSN/EAN : 9780128188156 Note générale : copyrighted Langues : Anglais (eng) Résumé : 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 Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88914848 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535133
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