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Novel Financial Applications of Machine Learning and Deep Learning
Mohammad Abedin,
Petr Hajek
International Series in Operations Research & Management Science
Swansea University Author: Mohammad Abedin
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/978-3-031-18552-6
Abstract
Novel Financial Applications of Machine Learning and Deep Learning
| Published in: | International Series in Operations Research & Management Science |
|---|---|
| ISBN: | 9783031185519 9783031185526 |
| ISSN: | 0884-8289 2214-7934 |
| Published: |
Cham
Springer International Publishing
2023
|
| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa64280 |
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v2 64280 2023-08-31 Novel Financial Applications of Machine Learning and Deep Learning 4ed8c020eae0c9bec4f5d9495d86d415 Mohammad Abedin Mohammad Abedin true false 2023-08-31 BAF Book International Series in Operations Research & Management Science Springer International Publishing Cham 9783031185519 9783031185526 0884-8289 2214-7934 2 3 2023 2023-03-02 10.1007/978-3-031-18552-6 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2024-03-13T15:08:44.6492986 2023-08-31T19:13:55.0376177 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Mohammad Abedin 1 Petr Hajek 2 |
| title |
Novel Financial Applications of Machine Learning and Deep Learning |
| spellingShingle |
Novel Financial Applications of Machine Learning and Deep Learning Mohammad Abedin |
| title_short |
Novel Financial Applications of Machine Learning and Deep Learning |
| title_full |
Novel Financial Applications of Machine Learning and Deep Learning |
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Novel Financial Applications of Machine Learning and Deep Learning |
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Novel Financial Applications of Machine Learning and Deep Learning |
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Novel Financial Applications of Machine Learning and Deep Learning |
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Mohammad Abedin |
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Mohammad Abedin Petr Hajek |
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Book |
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International Series in Operations Research & Management Science |
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2023 |
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Swansea University |
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9783031185519 9783031185526 |
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10.1007/978-3-031-18552-6 |
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Springer International Publishing |
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