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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2023
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| Subjects: | |
| Online Access: | |
| Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | xxii, 719 pages illustrations (black and white, and colour), digital, PDF files(s) |