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AI for finance /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI for finance // Edward P.K. Tsang.
作者:	Tsang, Edward.
出版者:	Boca Raton ;CRC Press, : c2023.,
面頁冊數:	xx, 105 p. :ill. ; : 20 cm.;
標題:	Artificial intelligence - Financial applications. -
ISBN:	9781032391205

AI for finance /
Tsang, Edward.

AI for finance /Edward P.K. Tsang. - 1st ed. - Boca Raton ;CRC Press,c2023. - xx, 105 p. :ill. ;20 cm. - AI for everything.

Includes bibliographical references (p. [97]-100) 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"--

ISBN: 9781032391205

LCCN: 2022055176Subjects--Topical Terms:

1346102
Artificial intelligence
--Financial applications.

LC Class. No.: HG4515.5 / .T77 2023

Dewey Class. No.: 332.0285/63

AI for finance /
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245 1 0 $a AI for finance / $c Edward P.K. Tsang.
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300 $a xx, 105 p. : $b ill. ; $c 20 cm.
490 0 $a AI for everything
504 $a Includes bibliographical references (p. [97]-100) and index.
520 # $a "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"-- $c Provided by publisher.
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