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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices - Hardcover
Synopsis
Learn how cutting-edge AI and data science techniques are integrated in financial markets from leading experts in the industry.
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About the Authors
Agostino Capponi is Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University. He conducts research in financial technology and market microstructure. His work has been recognized with the NSF CAREER Award, and a JP Morgan AI Research award. Capponi is a co-editor of Management Science and Mathematics and Financial Economics. He is a Council member of the Bachelier Financial Society, and recently served as Chair of the SIAM-FME and INFORMS Finance.
Charles-Albert Lehalle is Global Head of Quantitative R&D at Abu Dhabi Investment Authority and Visiting Professor at Imperial College London. He has a Ph.D. in machine learning, was previously Head of Data Analytics at CFM, and held different Global Head positions at Crédit Agricole CIB. Recognized as an expert in market microstructure, Lehalle is often invited to present to regulators and policy-makers.
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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Cambridge University Press, 2023
ISBN 10: 1316516199
ISBN 13: 9781316516195
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
Published by
Cambridge University Press, 2023
ISBN 10: 1316516199
ISBN 13: 9781316516195
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Machine Learning and Data Sciences for Financial Markets : A Guide to Contemporary Practices
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MACHINE LEARNING & DATA SCIENCES FOR F
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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Machine Learning and Data Sciences for Financial Markets : A Guide to Contemporary Practices
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ISBN 13: 9781316516195
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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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Machine Learning and Data Sciences for Financial Markets : A Guide to Contemporary Practices
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