Machine Learning for Financial Engineering

Machine Learning for Financial Engineering

by László Györfi, György Ottucsák, Harro Walk

250 pages· 2012· ISBN 9781848168138
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About
Investigating algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets, this is a self-contained text suitable for researchers and graduate students in computer science, finance, statistics, mathematics and engineering.

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