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Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Condition: New.
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Machine Learning In Computational Finance
Language: English
Published by LAP Lambert Academic Publishing, DE, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
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Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing 2012-05-14, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Paperback. Condition: New.
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Machine Learning In Computational Finance | Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Taschenbuch. Condition: Neu. Machine Learning In Computational Finance | Practical algorithms for building artificial intelligence applications | Victor Boyarshinov | Taschenbuch | 88 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659118890 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Machine Learning In Computational Finance
Language: English
Published by LAP Lambert Academic Publishing, DE, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Paperback. Condition: New.
-
Machine Learning In Computational Finance Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning In Computational Finance Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 40.85
£ 3.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning In Computational Finance
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2012, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-adjusted (Sterling ratio and Sharp ratio) trading strategies are considered. Constructed optimal trading strategies can be used as training dataset for the AI application. In the next part of the book one particular type of Machine Learning - finding optimal linear separators - is considered, and combinatorial deterministic algorithm for computing minimum linear separator set in 2 dimensions is given. In the last part of the book presented efficient algorithms for preventing overfitting. Shape constrained regression is an accepted methodology to deal with overfitting. Algorithms for nonparametric shape constrained regression in the form of isotonic and unimodal regressions are given. 88 pp. Englisch.
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Machine Learning In Computational Finance
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Boyarshinov VictorVictor Boyarshinov was born in the family of Russian military pilot. Victor grew up in a small village on the shore of Okhotsk Sea. After finishing high school he went to Novosibirsk State University to get MS degre.
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Machine Learning In Computational Finance
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2012, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-adjusted (Sterling ratio and Sharp ratio) trading strategies are considered. Constructed optimal trading strategies can be used as training dataset for the AI application. In the next part of the book one particular type of Machine Learning - finding optimal linear separators - is considered, and combinatorial deterministic algorithm for computing minimum linear separator set in 2 dimensions is given. In the last part of the book presented efficient algorithms for preventing overfitting. Shape constrained regression is an accepted methodology to deal with overfitting. Algorithms for nonparametric shape constrained regression in the form of isotonic and unimodal regressions are given.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
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Machine Learning In Computational Finance : Practical algorithms for building artificial intelligence applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659118893 ISBN 13: 9783659118890
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-adjusted (Sterling ratio and Sharp ratio) trading strategies are considered. Constructed optimal trading strategies can be used as training dataset for the AI application. In the next part of the book one particular type of Machine Learning - finding optimal linear separators - is considered, and combinatorial deterministic algorithm for computing minimum linear separator set in 2 dimensions is given. In the last part of the book presented efficient algorithms for preventing overfitting. Shape constrained regression is an accepted methodology to deal with overfitting. Algorithms for nonparametric shape constrained regression in the form of isotonic and unimodal regressions are given.
