Tsang Edward P. K. (University Of Essex United Kingdom)
Tsang Edward P. K. (University Of Essex United Kingdom) - Ai For Finance - Paperback
Tsang Edward P. K. (University Of Essex United Kingdom) - Ai For Finance - Paperback
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Binding: Paperback
Description: 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.
Title: Ai For Finance
Author(s): Tsang Edward P. K. (University Of Essex United Kingdom)
Publisher: Taylor & Francis Ltd
Barcode: 9781032384436
Pages: 106 Pages, 5 Line Drawings, Black And White; 1 Halftones, Black And White; 6 Illustrations, Black An
Publication Date: 6/2/2023
Series: AI for Everything
Category: Neural Networks & Fuzzy Systems
Description: 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.
Title: Ai For Finance
Author(s): Tsang Edward P. K. (University Of Essex United Kingdom)
Publisher: Taylor & Francis Ltd
Barcode: 9781032384436
Pages: 106 Pages, 5 Line Drawings, Black And White; 1 Halftones, Black And White; 6 Illustrations, Black An
Publication Date: 6/2/2023
Series: AI for Everything
Category: Neural Networks & Fuzzy Systems
