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Machine Learning in Finance Workshop 2017



Columbia University,
International Affairs Building, Room 417
420 W. 118 Street
New York, NY 10027
United States


Friday, April 21, 2017 -
8:30am to 5:00pm


The Data Science Institute (DSI) at Columbia University and Bloomberg LP are pleased to announce a workshop on "Machine Learning in Finance". The workshop will be held at Columbia University under the auspices of the Financial and Business Analytics Center, one of the constituent centers in the DSI, and the Center for Financial Engineering.

Fewer industries are better suited for artificial intelligence and machine learning than finance. Given the high volume of data and historical records, machine learning has, in some shape or form, been a part of the financial community for many years. Today, machine learning finds itself at the heart of nearly every part of the industry’s ecosystem, from managing assets to assessing risk.


Academics from Columbia University, the MIT Sloan School of Management, Stanford University, and the University of Pennsylvania will join professionals from BlackRock, Bloomberg, FINRA, Goldman Sachs, Quantopian and more to cover topics such as:

  • Herding Robotic Cats: Constructing a Single Portfolio from Hundreds of Thousands of Autonomous Strategies
  • How News and Its Context Drive Risk and Returns Around the World
  • Trading Without Regret
  • Understanding What the Machine Understands
  • The Billion Prices Project: Using Small Data to Improve Big Data
  • What Can We Learn from Data?

Boxed lunches will be provided. There will also be regular coffee breaks throughout the day and a wine and cheese reception after the event. 

More information on speakers as well as titles and abstracts for the talks!