E-book details

Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques

Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques

Jeffrey Ng, Subhash Shah

Ebook
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.
You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking.
By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
  • 1. The Importance of Artificial Intelligence in Finance Industry
  • 2. Using Time Series Analysis to Automate Client Procurement
  • 3. Using Features and Reinforcement Learning to Automate Bank Financing
  • 4. Mechanizing Capital Market Decisions
  • 5. Predicting the Future of Investment Bankers
  • 6. Automated Portfolio Management Using Treynor Black Model and RestNet
  • 7. Sensing Market Sentiment for Algorithmic Marketing at Sell-Side
  • 8. Building Personal Wealth Advisers with Bank API
  • 9. Mass Customization of Client Lifetime Wealth
  • 10. Real World Considerations
  • Title: Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques
  • Author: Jeffrey Ng, Subhash Shah
  • Original title: Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques
  • ISBN: 9781788833967, 9781788833967
  • Date of issue: 2020-07-10
  • Format: Ebook
  • Item ID: e_2ae9
  • Publisher: Packt Publishing