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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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€ 130,49
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers and graduate students in financial engineering, as well as practitioners in the sector.
741 pages, Worked examples or Exercises
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 1. jūnijs |
| ISBN13 | 9781316516195 |
| Izdevēji | Cambridge University Press |
| Lapas | 741 |
| Izmēri | 262 × 185 × 39 mm · 1,67 kg |
| Redaktors | Capponi, Agostino (Columbia University, New York) |
| Redaktors | Lehalle, Charles-Albert (Abu Dhabi Investment Authority) |
