Machine Learning in Finance Workshop 2020

Machine Learning in Finance Workshop 2020
Friday, August 7, 2020
8:00 AM - 6:00 PM
Online Event
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The Fu Foundation School of Engineering & Applied Science (SEAS), The Data Science Institute, and Bloomberg will come together for a virtual edition of the annual Machine Learning in Finance event.

On Friday, August 7, materials including research abstracts, presentations, and videos will be released to all registered attendees. Please RSVP here on Eventbrite to receive more announcements about the virtual offerings.

The full Machine Learning in Finance conference will return in Spring 2021

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This event is hosted by The Center for Financial Engineering (SEAS) and the Financial Analytics Center (DSI).

The Center for Financial Engineering is an interdisciplinary research center established in 2007 to encourage research on financial engineering and mathematical modeling in finance. It aims at fostering research collaboration among Columbia faculty, graduate students and affiliates, facilitating their contacts with financial institutions and corporations and enhancing the visibility of Columbia as a center for research and innovation in financial engineering. The Center’s research activities deal with the pricing and hedging of derivative securities, the statistical modeling of financial markets, computational methods in finance, risk management, asset allocation and portfolio optimization.



The Financial Analytics Center is one of the key centers at the Data Science Institute at Columbia University. It brings together expertise in finance theory, machine learning, statistics, signal processing, operations, and natural language processing, and supports collaborations with an appropriately trained student body as well as with the financial industry.
Event Contact Information:
Data Science Institute
212-854-5660
[email protected]
LOCATION:
  • Online
TYPE:
  • Workshop
CATEGORY:
  • Engineering
  • Finance
EVENTS OPEN TO:
  • Alumni
  • Faculty
  • Family-friendly
  • Graduate Students
  • Postdocs
  • Prospective Students
  • Staff
  • Public
  • Students
  • Trainees
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