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.
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