AI for Finance (AI for Everything)
£13.80
Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance.
Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used.
To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in finance. Trading depth for readability, AI for Finance will help readers decide whether to invest more time into the subject.
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Additional information
| Publisher | 1st edition (2 Jun. 2023), CRC Press |
|---|---|
| Language | English |
| File size | 3026 KB |
| Simultaneous device usage | Up to 4 simultaneous devices, per publisher limits |
| Text-to-Speech | Enabled |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Enabled |
| Sticky notes | On Kindle Scribe |
| Print length | 125 pages |
| Page numbers source ISBN | 1032384433 |
by Alexander T.
I’ve learned a lot from this book. Some of the concepts that I’ve learned from this book are eye-opening.
by candy lau
Enjoy reading it!
by Alice. S
Professor Tang’s new work is an exceptional book that brilliantly encapsulates the recent advancements in research and trends that have reshaped the landscape of AI financial technology. The author has managed to balance both academic detail and making the content accessible to a wide range of readers.
by Ma Shuai
Professor Edward Tsang was my supervisor while I was doing my PhD course. He is a pioneer in computational finance and now AI for finance. This book contains lots of his knowledge in both AI and finance. Highly recommended to buy.