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Hands-On Artificial Intelligence for Banking - A practical guide to building intelligent financial applications using machine learning techniques (Paperback)
Loot Price: R1,040
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Hands-On Artificial Intelligence for Banking - A practical guide to building intelligent financial applications using machine learning techniques (Paperback)
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Delve into the world of real-world financial applications using
deep learning, artificial intelligence, and production-grade data
feeds and technology with Python Key Features Understand how to
obtain financial data via Quandl or internal systems Automate
commercial banking using artificial intelligence and Python
programs Implement various artificial intelligence models to make
personal banking easy Book DescriptionRemodeling 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 in 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 Open Bank API 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
Who this book is forThis 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.
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