Paperback, [PU: LAP Lambert Academic Publishing], In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-… Meer...
Paperback, [PU: LAP Lambert Academic Publishing], 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., Business & Management<
2012-04-09. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be re-issue. May be ex-library. Shippin… Meer...
2012-04-09. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be re-issue. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!, 2012-04-09, 2.5<
Paperback, [PU: LAP Lambert Academic Publishing], In the first part of the book practical algorithms for building optimal trading strategies are constructed. Both non-restricted and risk-… Meer...
Paperback, [PU: LAP Lambert Academic Publishing], 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., Business & Management<
2012-04-09. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be re-issue. May be ex-library. Shippin… Meer...
2012-04-09. Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be re-issue. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!, 2012-04-09, 2.5<
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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.
Gedetalleerde informatie over het boek. - Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
EAN (ISBN-13): 9783659118890 ISBN (ISBN-10): 3659118893 Gebonden uitgave pocket book Verschijningsjaar: 2012 Uitgever: LAP LAMBERT Academic Publishing
Boek bevindt zich in het datenbestand sinds 2008-08-13T17:53:50+02:00 (Amsterdam) Detailpagina laatst gewijzigd op 2024-01-31T14:42:07+01:00 (Amsterdam) ISBN/EAN: 3659118893
ISBN - alternatieve schrijfwijzen: 3-659-11889-3, 978-3-659-11889-0 alternatieve schrijfwijzen en verwante zoekwoorden: Titel van het boek: machine learning, applications finance
