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Deep Learning in Banking
book

Deep Learning in Banking

by Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
January 2026
Intermediate to advanced
336 pages
10h 18m
English
Wiley
Content preview from Deep Learning in Banking

Bibliography

  1. ABA Banking Journal Staff. CFPB to ‘crack down’ on bank chatbots, August 2024.
  2. Shuaib Ahmed, Rhosyn Almond, Cameron Belton, Daniel Bogiatzis-Gibbons, Krishane Patel, Manasi Phadnis, Patrick Sholl, and Jackie Spang. Money talks: Lessons from 2 LLM pilots on consumer guidance. Research Note, Financial Conduct Authority, May 2025.
  3. Maher Ala’raj, Maysam F. Abbod, Munir Majdalawieh, and Luay Jum’a. A deep learning model for behavioural credit scoring in banks. Neural Computing and Applications, 34(8): 5839–5866, 2022.
  4. Amazon AWS. Amazon Titan image Generator, multimodal embeddings, and text models are now available in Amazon Bedrock | AWS News Blog, November 2023. https://aws.amazon.com/blogs/aws/amazon-titan-image-generator-multimodal-embeddings-and-text-models-are-now-available-in-amazon-bedrock/.
  5. Bart Baesens, Daniel Roesch, and Harald Scheule. Credit risk analytics: Measurement techniques, applications, and examples in SAS. Wiley & SAS Business Series. Wiley, Hoboken, New Jersey, 2016.
  6. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv: 1409.0473, May 2016.
  7. Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv: 1803.01271, April 2018.
  8. Bank for International Settlements. Newsletter on artificial intelligence and machine learning, 2022. https://www.bis.org/publ/bcbs_nl27.htm ...
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Publisher Resources

ISBN: 9781394295371Purchase Link