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Machine Learning for Credit risk: three successful Case Histories
Author(s) -
Paolo Di Biasi,
Rita Gnutti,
Andrea Resti,
Daniele Vergari
Publication year - 2022
Publication title -
risk management magazine
Language(s) - English
Resource type - Journals
eISSN - 2724-2153
pISSN - 2612-3665
DOI - 10.47473/2020rmm0108
Subject(s) - overfitting , computer science , joins , transaction data , machine learning , database transaction , artificial intelligence , warning system , footprint , sample (material) , credit risk , data mining , database , finance , business , telecommunications , paleontology , artificial neural network , biology , programming language , chemistry , chromatography

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