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Machine Learning In Computational Finance

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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Rs. 3,651

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  • Product Description
 
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.
Product Specifications
SKU :COC10960
AuthorVictor Boyarshinov
LanguageEnglish
BindingPaperback
Number of Pages88
Publishing Year05/12/12
ISBN978-3659118890
Edition1 st
Book TypeBanking & finance: study & revision guides
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-07 00:00:00