Machine Learning for Financial Engineeri
| AUTHOR | Walk, Harro; Ottucsak, Gyorgy; Gyorfi, Laszlo et al. |
| PUBLISHER | Imperial College Press (02/29/2012) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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.
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Product Format
Product Details
ISBN-13:
9781848168138
ISBN-10:
1848168136
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
260
Carton Quantity:
26
Product Dimensions:
6.00 x 0.80 x 9.00 inches
Weight:
1.10 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Finance - General
Computers | Probability & Statistics - General
Dewey Decimal:
332.602
Library of Congress Control Number:
2012406220
Descriptions, Reviews, Etc.
publisher marketing
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.
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List Price $95.00
Your Price
$94.05