Deep Learning in Banking

Integrating Artificial Intelligence for Next-Generation Financial Services

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Éditeur :

Wiley


Paru le : 2026-01-05



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Description

Unlock the potential of artificial intelligence to transform financial services for a new era
Deep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián Bravo, Sebastián Maldonado, and María Óskarsdóttir is a compelling resource that highlights the critical intersection of AI and banking. It offers actionable insights and practical solutions for leveraging deep learning in lending institutions. With increasing regulatory challenges and the need for sophisticated models, this book provides essential strategies to navigate the evolving landscape of financial services.
Structured for both academic and professional use, Deep Learning in Banking delivers a comprehensive examination of the methodological frameworks of AI applications in lending. You'll learn to combine images, text, time series, graphs and structured data to develop multimodal deep learning and large-scale models, and how they relate to explainability and fairness, with practical examples and real-world case studies that ensure effective implementation.
Inside the book: Learn how to develop AI models within the modern regulatory environment. Explore multimodal data to develop deep learning models for financial institutions Discover case studies highlighting the application of advanced machine learning techniques in banking
Deep Learning in Banking is written for academics, financiers, banking professionals, and data scientists eager to revolutionize their approach to financial services. The book empowers its readers with the knowledge and tools needed to harness AI's full potential, paving the way for innovative and compliant solutions in the banking industry.
Pages
336 pages
Collection
n.c
Parution
2026-01-05
Marque
Wiley
EAN papier
9781394295371
EAN PDF
9781394295388

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
4710 Ko
Prix
79,13 €
EAN EPUB
9781394295395

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
9523 Ko
Prix
79,13 €

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