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Machine Learning For Financial Engineering
László Györfi, György Ottucsák, Harro Walk (eds.)How much do you like this book?
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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.
Categories:
Year:
2012
Publisher:
Imperial College Press
Language:
english
Pages:
261
ISBN 10:
1848168136
ISBN 13:
9781848168138
Series:
Advances in Computer Science and Engineering: Texts, Vol. 08
File:
PDF, 3.94 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2012
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