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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 | Books Hardcover Book (Book with hard spine and cover) |
| Released | March 16, 2012 |
| ISBN13 | 9781848168138 |
| Publishers | Imperial College Press |
| Pages | 262 |
| Dimensions | 157 × 232 × 19 mm · 506 g |
| Language | English |
| Editor | Gyorfi, Laszlo (Budapest Univ Of Technology & Economics, Hungary) |
| Editor | Ottucsak, Gyorgy (Budapest Univ Of Technology & Economics, Hungary) |
| Editor | Walk, Harro (Univ Stuttgart, Germany) |
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