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Machine Learning For Financial Engineering on Hardback
Machine Learning For Financial Engineering on Hardback
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Machine Learning For Financial Engineering

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Description

This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment.The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
Release date Australia
March 16th, 2012
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Contributors
  • Edited by Gyorgy Ottucsak
  • Edited by Harro Walk
  • Edited by Laszlo Gyorfi
Pages
260
Dimensions
152x229x20
ISBN-13
9781848168138
Product ID
10839414

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