Hands-On Artificial Intelligence for Banking
Hands-On Artificial Intelligence for Banking is a must-have guide for AI developers and machine learning experts looking to build intelligent finance-based applications. This guide will give its readers a complete overview of the global banking business with the help of interesting use-cases, and their implementation using popular Python libraries.
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Difficulty Level
Intermediate
Completion Time
8h
Language
English
About Book
Who Is This Book For?
This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
Hands-On Artificial Intelligence for Banking
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h total length
The Importance of Artificial Intelligence in Finance Industry
Using Time Series Analysis to Automate Client Procurement
Using Features and Reinforcement Learning to Automate Bank Financing
Mechanizing Capital Market Decisions
Predicting the Future of Investment Bankers
Automated Portfolio Management Using Treynor Black Model and RestNet
Sensing Market Sentiment for Algorithmic Marketing at Sell-Side
Building Personal Wealth Advisers with Bank API
Mass Customization of Client Lifetime Wealth
Real World Considerations
Related Resources
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