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Hands-On Artificial Intelligence for Banking

You're reading from  Hands-On Artificial Intelligence for Banking

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781788830782
Pages 240 pages
Edition 1st Edition
Languages
Authors (2):
Jeffrey Ng Jeffrey Ng
Profile icon Jeffrey Ng
Subhash Shah Subhash Shah
Profile icon Subhash Shah
View More author details

Table of Contents (14) Chapters

Preface 1. Section 1: Quick Review of AI in the Finance Industry
2. The Importance of AI in Banking 3. Section 2: Machine Learning Algorithms and Hands-on Examples
4. Time Series Analysis 5. Using Features and Reinforcement Learning to Automate Bank Financing 6. Mechanizing Capital Market Decisions 7. Predicting the Future of Investment Bankers 8. Automated Portfolio Management Using Treynor-Black Model and ResNet 9. Sensing Market Sentiment for Algorithmic Marketing at Sell Side 10. Building Personal Wealth Advisers with Bank APIs 11. Mass Customization of Client Lifetime Wealth 12. Real-World Considerations 13. Other Books You May Enjoy

Summary

This book is designed to illustrate the current possibilities in terms of technology using public domain information. I hope that it helps to create a supply of talent and researchers to aid the industry. It also creates a base level of performance that any potential start-up needs to beat in order to be qualified. With all code in books now being open source, I am happy to be at the bottom of performance with regard to technological solutions!

There are too many books that are purely visionary, and there are also books that talk about the technical considerations without getting to the heart of the problem. There are books full of mathematics and formulas that deal with encrypted knowledge. This book is here to bridge the gap between the vision and the technical considerations. I believe that future generations deserve to study in an AI utopia before they come to change our world of work. For professionals in the industry and those wishing to upgrade their skills...

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