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You're reading from Hands-On Artificial Intelligence for Banking A practical guide to building intelligent financial applications using machine learning techniques

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781788830782

Length 240 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Artificial Intelligence

Authors (2):

Subhash Shah

Jeffrey Ng

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Table of Contents (14) Chapters

Preface

1. Section 1: Quick Review of AI in the Finance Industry

2. The Importance of AI in Banking FREE CHAPTER

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

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To get the most out of this book

Before you get started, I assume that you are running Ubuntu 16.04LTS Desktop or above and have done your Python 101 course. Knowledge of how to install the relevant software packages is assumed and will not be covered in this book.

Three database engines (SQLite, MongoDB, and Neo4j) are used in this book. Please make sure that you have them installed.

Regarding data sources, we will get data from data.world (https://data.world/) and a paid subscription to Quandl (Sharadar Core US Equities Bundle (https://www.quandl.com/databases/SFA/data) for chapters 4 and 5, and Sharadar Fund Prices (https://www.quandl.com/databases/SFP/data) for chapters 6 and 7), Twitter's Premium Search (https://developer.twitter.com/en/docs/tweets/search/overview/premium) for chapter 7, and the Open Bank Project (https://uk.openbankproject.com/) for chapter 8.

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Authors (2)

Jeffrey Ng

Jeffrey Ng, CFA, works at Ping An OneConnect Bank (Hong Kong) Limited as Head of FinTech Solutions. His mandate is to advance the use of AI in banking and financial ecosystems. Prior to this, he headed up the data lab of BNP Paribas Asia Pacific, which constructed an AI and data analytics solution for business, and was the vice-chair of the French Chamber of Commerce's FinTech Committee in Hong Kong. In 2010, as one of the pioneers in applying client analytics to investment banking, he built the analytics team for the bank. He has undertaken AI projects in retail and commercial banks with PwC Consulting and GE Money. He graduated from Hong Kong Polytechnic University in computing and management and holds an MBA in finance from the Chinese University of Hong Kong.

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Subhash Shah

Subhash Shah is an experienced solution architect. With 14 years of experience in software development, he works as an independent technical consultant now. He is an advocate of open source development and its utilization in solving critical business problems. His interests include Microservices architecture, Enterprise solutions, Machine Learning, Integrations and Databases. He is an admirer of quality code and test-driven development (TDD). His technical skills include translating business requirements into scalable architecture and designing sustainable solutions. He is a co-author of Hands-On High Performance with Spring 5, Hands-On AI for Banking and MySQL 8 Administrator's Guide. He has also been a technical reviewer for other books.

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