Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
by: Jeffrey Ng and Subhash Shah
Print Length 页数: 240 pages
Publisher finelybook 出版社: Packt Publishing (10 July 2020)
Language 语言: English
ISBN-10: 1788830784
ISBN-13: 9781788830782
Book Description
Delve into the world of real-world financial applications using deep learning,artificial intelligence,and production-grade data feeds and technology with Python
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.
What you will learn
Automate commercial bank pricing with reinforcement learning
Perform technical analysis using convolutional layers on Keras
Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases
Deploy a robot advisor to manage your personal finances via Openbank
Sense market needs using sentiment analysis for algorithmic marketing
Explore AI adoption in banking using practical examples
Understand how to obtain financial data from commercial,open,and internal sources
