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Machine Learning For Financial Engineering - Advances in Computer Science and Engineering: Texts
Laszlo Gyorfi
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Machine Learning For Financial Engineering - Advances in Computer Science and Engineering: Texts
Laszlo Gyorfi
Investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. This title is suitable for researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
250 pages, Illustrations
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 16. mars 2012 |
| ISBN13 | 9781848168138 |
| Utgivere | Imperial College Press |
| Antall sider | 260 |
| Mål | 157 × 232 × 19 mm · 506 g |
| Språk | Engelsk |
| Redaktør | Gyorfi, Laszlo (Budapest Univ Of Technology & Economics, Hungary) |
| Redaktør | Ottucsak, Gyorgy (Budapest Univ Of Technology & Economics, Hungary) |
| Redaktør | Walk, Harro (Univ Stuttgart, Germany) |
![Cover for Laszlo Gyorfi · Principles of Nonparametric Learning - CISM International Centre for Mechanical Sciences (Pocketbok) [Softcover reprint of the original 1st ed. 2002 edition] (2002)](https://imusic.b-cdn.net/images/item/original/880/9783211836880.jpg?laszlo-gyorfi-2002-principles-of-nonparametric-learning-cism-international-centre-for-mechanical-sciences-pocketbok&class=scaled&v=1516094040)