Description
| Product ID: | 9781032384436 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | AI for Everything |
| Title: | AI for Finance |
| Authors: | Author: Edward P. K. Tsang |
| Page Count: | 106 |
| Subjects: | Econometrics and economic statistics, Econometrics, Econometrics and economic statistics, Finance and accounting, Probability and statistics, Engineering: general, Ergonomics, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Digital and information technologies: social and ethical aspects, Digital and information technologies: Legal aspects, Neural networks and fuzzy systems, Economic statistics, Finance & accounting, Probability & statistics, Engineering: general, Ergonomics, Electrical engineering, Automatic control engineering, Environmental science, engineering & technology, Ethical & social aspects of IT, Legal aspects of IT, Neural networks & fuzzy systems |
| Description: | Select Guide Rating Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions. 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. |
| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-06-02 |
