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Machine Learning for Financial Engineering / Laszlo Gyorfi, Gyorgy Ottucsak, Harro Walk. Singapore : World Scientific Publishing Co., 2012.261 p. ; 23 cm.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 eng
Đầu mục:5
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Tài liệu số:0
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Pattern recognition and machine learning / Christopher M. Bishop New York : Springer, 2006xx, 738, 100 p. : ill. (chiefly color) ; 29 cm.Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Đầu mục:7
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Tài liệu số:2
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