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.
| ISBN: | 9780128188156 |
| Publication date: | 7th January 2020 |
| Author: | Eric (Fannie Mae, Washington DC, USA) Rosenblatt |
| Publisher: | Academic Press Inc an imprint of Elsevier Science Publishing Co Inc |
| Format: | Paperback |
| Pagination: | 274 pages |
| Genres: |
Credit and credit institutions Economics of specific sectors Business strategy Algorithms and data structures |