Machine learning and data sciences for financial markets: a guide to contemporary practices
Leveraging the research efforts of more than sixty experts in the area, this volume reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over...
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
|
| Links: | https://doi.org/10.1017/9781009028943 |
| Zusammenfassung: | Leveraging the research efforts of more than sixty experts in the area, this volume reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. |
| Umfang: | 1 Online-Ressource (xxii, 719 Seiten) Illustrationen |
| Zielpublikum: | Specialized. |
| ISBN: | 9781009028943 |
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| spelling | Machine learning and data sciences for financial markets a guide to contemporary practices edited by Agostino Capponi, Charles-Albert Lehalle Cambridge Cambridge University Press 2023 1 Online-Ressource (xxii, 719 Seiten) Illustrationen txt c cr Leveraging the research efforts of more than sixty experts in the area, this volume reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. Specialized. Capponi, Agostino Lehalle, Charles-Albert Erscheint auch als Druck-Ausgabe 9781316516195 |
| spellingShingle | Machine learning and data sciences for financial markets a guide to contemporary practices |
| title | Machine learning and data sciences for financial markets a guide to contemporary practices |
| title_auth | Machine learning and data sciences for financial markets a guide to contemporary practices |
| title_exact_search | Machine learning and data sciences for financial markets a guide to contemporary practices |
| title_full | Machine learning and data sciences for financial markets a guide to contemporary practices edited by Agostino Capponi, Charles-Albert Lehalle |
| title_fullStr | Machine learning and data sciences for financial markets a guide to contemporary practices edited by Agostino Capponi, Charles-Albert Lehalle |
| title_full_unstemmed | Machine learning and data sciences for financial markets a guide to contemporary practices edited by Agostino Capponi, Charles-Albert Lehalle |
| title_short | Machine learning and data sciences for financial markets |
| title_sort | machine learning and data sciences for financial markets a guide to contemporary practices |
| title_sub | a guide to contemporary practices |
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