04697nam a2200721 i 4500 on1351473960 EBZ 20251029164106.0 m d cr ||||||||||| 221118s2023 flua ob 001 0 eng 2022055177 EBZ eng EBZ 9781003348474 (ebook) 1003348475 9781000878523 (electronic bk. : PDF) 100087852X (electronic bk. : PDF) 9781000878578 (electronic bk. : EPUB) 1000878570 (electronic bk. : EPUB) 9781032391205 (hardback) 9781032384436 (paperback) 10.1201/9781003348474 doi 9781003348474 Taylor & Francis 9781000878578 O'Reilly Media pcc HG4515.5 COM 044000 bisacsh BUS 027000 bisacsh COM 079010 bisacsh UYQ bicssc MAIN Tsang, Edward, author. https://id.oclc.org/worldcat/entity/E39PBJvhpM6PCpxcg7BrDGrXh3 64985 AI for finance / Edward P.K. Tsang. First edition. 2304 Boca Raton : CRC Press, 2023. 1 online resource : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier textual sapdv EBSCOhost AI for everything EBSCOhost "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025. Online resource; title from PDF title page (EBSCO, viewed May 3, 2023). Includes bibliographical references and index. "Finance students and practitioners may ask: Can machines learn everything? Where 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. To finance students and practitioners, this book will explain the promise of AI and its limitations. It will cover knowledge representation, modelling, simulation and machine learning. It will explain the principle 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. This book trades depth for readability. It aims to help readers to decide whether to invest more time into the subject. This book contains original research. For example, it explains the impact of ignoring computation in classical economics. It explains the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists. It introduces Directional Change and explains how it can be used"-- Provided by publisher. AI-finance synergy -- Machine learning knows no boundaries? -- Machine learning in finance -- Modelling, simulation and machine learning -- Portfolio optimization -- Financial data: beyond time series -- Over the horizon. Edward P. K. Tsang is a retired professor and a freelance consultant. With a first degree in finance and a PhD in AI, he has broad interests in constraint satisfaction, optimization, AI and finance. Investments Data processing. 64986 Finance Data processing. 64987 Artificial intelligence Financial applications. 64988 COMPUTERS / Neural Networks bisacsh 64989 BUSINESS & ECONOMICS / Finance bisacsh 64516 COMPUTERS / Social Aspects / Human-Computer Interaction bisacsh 64990 Print version: Tsang, Edward. AI for finance First edition. Boca Raton : CRC Press, 2023 9781032391205 (DLC) 2022055176 EBSCOhost https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3585536 YBP Library Services YANK 18247293 YBP Library Services YANK 304803413 EBSCOhost EBSC 3585536 92 N$T 56099 56099