Credit scoring in context of interpretable machine learning : theory and practice
edited by Daniel Kaszyński, Bogumił Kamiński, Tomasz Szapiro
| Year of publication: |
2020 ; First edition
|
|---|---|
| Other Persons: | Kaminski, Bogumil (ed.) ; Szapiro, Tomasz (ed.) ; Kaszyński, Daniel (ed.) |
| Publisher: |
Warsaw : SGH Publishing House |
| Subject: | Kreditwürdigkeit | Credit rating | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
| Description of contents: | Table of Contents [gbv.de] |
| Extent: | 380 Seiten Illustrationen 24 cm |
|---|---|
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Aufsatzsammlung |
| Language: | English |
| Notes: | Bibliografia na stronach 339-353 |
| ISBN: | 978-83-8030-424-6 ; 83-8030-424-1 |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012505222