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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Machine Learning For Financial Engineering (Hardcover) Loot Price: R2,312
Discovery Miles 23 120
Machine Learning For Financial Engineering (Hardcover): Laszlo Gyorfi, Gyorgy Ottucsak, Harro Walk

Machine Learning For Financial Engineering (Hardcover)

Laszlo Gyorfi, Gyorgy Ottucsak, Harro Walk

Series: Advances in Computer Science and Engineering: Texts, 8

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Loot Price R2,312 Discovery Miles 23 120 | Repayment Terms: R217 pm x 12*

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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.

General

Imprint: Imperial College Press
Country of origin: United Kingdom
Series: Advances in Computer Science and Engineering: Texts, 8
Release date: March 2012
First published: February 2012
Editors: Laszlo Gyorfi • Gyorgy Ottucsak • Harro Walk
Dimensions: 232 x 157 x 19mm (L x W x T)
Format: Hardcover
Pages: 260
ISBN-13: 978-1-84816-813-8
Categories: Books > Business & Economics > Finance & accounting > Finance > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Money & Finance > General
LSN: 1-84816-813-6
Barcode: 9781848168138

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