B.E Artificial Intelligence and Machine Learning AI for Financial and Banking Application Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for AI for financial & Banking application
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Textbooks
- 1 Financial Analytics with R Building a Laptop Laboratory for Data Science MARK J. BENNETT University of Chicago DIRK L. HUGEN University of Iowa
- 2 Artificial Intelligence in Finance A Python-Based Guide, Yves Hilpisch A
- 3 Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection , Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke
- 1 “ Machine Learning for Asset Managers" by Marcos López de Prado
- 2 "Advances in Financial Machine Learning" by Marcos López de Prado. Digital References:
- 1 https://www.eastnets.com/newsroom/digital-transformation-in-the-banking-and-financial-services-sector
- 2 https://www.techopedia.com/definition/34633/generative-ai
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.