ISBN: 9786630061451 - artificial intelligence and bank credit risk: understanding, predicting and optimizing credit decisions in the age of machine learning (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Artificial Intelligence and Bank Credit Risk | Understanding, predicting and optimizing credit decisions in the age of Machine Learning | Oumar Armel Mbenza Makiadi | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786630061451 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 116 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the digital age, bank lending no longer relies solely on human intuition or traditional statistical methods. Faced with rising risks, increasingly complex financial behavior and an explosion of data, banks are entering a new era: that of artificial intelligence. Artificial Intelligence and Bank Credit Risk: Methods, Models and Applications explores in depth the transformation of banking decision-making systems thanks to Machine Learning. The book shows how financial institutions can use algorithms to better assess borrowers, reduce defaults and grant credit faster, more accurately and more fairly.The book begins by explaining the fundamentals of bank credit: why some applications are accepted, why others are rejected, and how notions of creditworthiness, risk and profitability structure financial decisions. It also highlights the real cost of bad credit: bank losses, bad debts, business failures and economic slowdown. …

Paperback. Condición: new. Paperback. In the digital age, bank lending no longer relies solely on human intuition or traditional statistical methods. Faced with rising risks, increasingly complex financial behavior and an explosion of data, banks are entering a new era: that of artificial intelligence. Artificial Intelligence and Bank Credit Risk: Methods, Models and Applications explores in depth the transformation of banking decision-making systems thanks to Machine Learning. The book shows how financial institutions can use algorithms to better assess borrowers, reduce defaults and grant credit faster, more accurately and more fairly.The book begins by explaining the fundamentals of bank credit: why some applications are accepted, why others are rejected, and how notions of creditworthiness, risk and profitability structure financial decisions. It also highlights the real cost of bad credit: bank losses, bad debts, business failures and economic slowdown. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.