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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 1, 2023 |
| ISBN13 | 9781316516195 |
| Publishers | Cambridge University Press |
| Pages | 741 |
| Dimensions | 262 × 185 × 39 mm · 1.67 kg |
| Editor | Capponi, Agostino (Columbia University, New York) |
| Editor | Lehalle, Charles-Albert (Abu Dhabi Investment Authority) |