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SUMMARY:Swissquote Conference 2018 on Machine Learning in Finance
DTSTART;VALUE=DATE:20181109
DTSTAMP:20260610T101413Z
UID:a333b5f1dec340863f4bfd6055b6b8d30f51816b68f36cc12b2887e3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Hans Buehler\, JP Morgan - Rama Cont\, University of Oxford - 
 Isabelle Flückiger\, Accenture - Kay Giesecke\, Stanford University - Ger
 ard Hoberg\, USC Marshall - Artur Sepp\, Julius Baer - David L. Shrier\, U
 niversity of Oxford\n\nMachine learning has come to play a prominent role 
 in modern finance. Current applications range from text-based analysis of 
 business reports to deep learning for credit risk and portfolio management
 . But the noise and behavioral elements inherent in financial data often r
 equire nonstandard machine learning solutions\, possibly yet to be develop
 ed. The full potential of machine learning in finance is still to be explo
 red.\nThe 9th annual Swissquote Conference will feature current research a
 nd insights on machine learning in finance provided by leading experts and
  scholars in the field. The event addresses academics and practitioners al
 ike\, and shall foster the interaction among individuals and across instit
 utions\n 
LOCATION:STCC 5ABC https://www.stcc.ch/
STATUS:CONFIRMED
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