frank xing (24 Ergebnisse)

Zustand: New. pp. xv + 450 200 Figures.

Zustand: New. pp. xv + 450.

Zustand: New. pp. XXII, 149 43 illus., 34 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Zustand: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Taschenbuch. Zustand: Neu. Intelligent Asset Management | Frank Xing (u. a.) | Taschenbuch | Socio-Affective Computing | xxii | Englisch | 2020 | Springer | EAN 9783030302658 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.

Zustand: New. 2013. Hardcover. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Zustand: New. 2013. Hardcover. . . . . .

Soft cover. Zustand: New. Language:Chinese.Author:ZHEN ZHI HONG GAO BAI FENG QIU SHI WANG XING YI (MEI)FU LAN KE DAO BIN (Frank Dobbin).Binding:Soft cover.Publisher:Shanghai People s Publishing House Pub. Date :2008.

Zustand: new. Questo è un articolo print on demand.

Zustand: new. Questo è un articolo print on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance. 172 pp. Englisch.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance. 172 pp. Englisch.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers many techniques integrated into the asset allocation modelsPresents deep learning and NLP solutionsIncludes tips on how to adapt general AI techniques to a specific application and business scenarios.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers many techniques integrated into the asset allocation modelsPresents deep learning and NLP solutionsIncludes tips on how to adapt general AI techniques to a specific application and business scenarios.

Zustand: New. Print on Demand pp. XXII, 149 43 illus., 34 illus. in color.

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND pp. XXII, 149 43 illus., 34 illus. in color.

Zustand: New. PRINT ON DEMAND.

Buch. Zustand: Neu. Intelligent Asset Management | Frank Xing (u. a.) | Buch | Socio-Affective Computing | xxii | Englisch | 2019 | Springer | EAN 9783030302627 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas.In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures.This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.