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Machine Learning in Finance

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PublisherSPRINGER INTERNATIONAL PUBLISHING
ISBN 139783030410674
ISBN 103030410676
Book DescriptionMachine Learning in Finance
About the AuthorPaul Bilokon, Ph.D., is CEO and Founder of Thalesians Ltd. Paul has madecontributions to mathematical logic, domain theory, and stochastic filtering theory, and, with Abbas Edalat, has published a prestigious LICS paper. He is a member of the British Computer Society, the Institution of Engineering and the European Complex Systems Society.Matthew Dixon, FRM, Ph.D., is an Assistant Professor of Applied Math at the Illinois Institute of Technology and an Affiliate of the Stuart School of Business. He has published over 20 peer reviewed publications on machine learning and quant finance and has been cited in Bloomberg Markets and the Financial Times as an AI in fintech expert. He is Deputy Editor of the Journal of Machine Learning in Finance, Associate Editor of the AIMS Journal on Dynamics and Games, and is a member of the Advisory Board of the CFA Quantitative Investing Group.Igor Halperin, Ph.D., is a Research Professor in Financial Engineering at NYU, and an AI Research associate at Fidelity Investments. Igor has published more than 50 scientific articles in machine learning, quantitative finance and theoretic physics. Prior to joining the financial industry, he held postdoctoral positions in theoretical physics at the Technion and the University of British Columbia. Read more
What's In The BoxBook
LanguageEnglish
AuthorMatthew F. Dixon; Igor Halperin; Paul Bilokon
LanguageEnglish
Publication Date2020
Number of Pages548.0

Machine Learning in Finance

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