Workshop

Machine Learning in Finance 2018

Friday, April 20, 2018 - 9:00am to 5:00pm
United States

The Data Science Institute (DSI) at Columbia University and Bloomberg 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.

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

Machine Learning in Finance 2017

Friday, April 21, 2017 - 8:30am to 5:00pm
420 West 118th Street, International Affairs Building (IAB), Room 417, Altschul Auditorium
Columbia University
New York, NY 10027
United States

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. More Information and Tickets Here.

Frontiers of Applied Statistics in Marketing

Friday, April 21, 2017 - 8:30am to 6:30pm
Columbia University
Davis Auditorium
New York, NY 10027
United States

The Statistics in Marketing Section of the American Statistical Association is pleased to announce the Workshop on “Frontiers of Applied Statistics in Marketing”. This workshop is co-sponsored by the Center for Financial and Business Analytics housed under the Data Science Institute at Columbia University.

Machine Learning in Finance 2016

Friday, April 1, 2016 - 9:00am to 5:00pm
420 West 118th Street, International Affairs Building (IAB), Room 417, Altschul Auditorium
Columbia University
New York, NY 10027
United States

Speakers:

Sid Dalal - Chief Data Scientist at AIG
Mark Drezde - Research Scientist and Assistant Research Professor at Johns Hopkins University and Bloomberg LP
Kay Giesecke - Associate Professor of Management Science and Engineering at Stanford University
Paul Glasserman - Jack R. Anderson Professor of Business at Columbia Business School
Marcos Lopez de Prado - Senior Managing Director at Guggenheim Partners
Paul Ma - Associate Professor, Carlson School of Management, University of Minnesota

Cryptography for Big Data Workshop

Monday, December 14, 2015 - 9:00am to Tuesday, December 15, 2015 - 5:00pm
Davis Auditorium, Room 412, Shapiro CEPSR
Columbia University
New York, NY 10027
United States

DIMACS/Columbia Data Science Institute Workshop on Cryptography for Big Data
December 14 - 15, 2015
Davis Auditorium, Schapiro Center for Engineering and Physical Science Research (CEPSR)
Columbia University

Organizers:
    Rosario Gennaro, City College of New York, rosario at ccny.cuny.edu
    Tal Malkin, Columbia University, tal at cs.columbia.edu
    Hoeteck Wee, École Normale Supérieure and Columbia University

The Inaugural Workshop of the Northeast Big Data Innovation Hub

Wednesday, December 16, 2015 - 9:00am to 6:30pm
Davis Auditorium, Room 412, Shapiro CEPSR
Columbia University
New York, NY 10027
United States

The Hub will hold its first workshop on Wednesday, Dec. 16 at Columbia. Speakers will include counter-terrorism expert Michael Leiter, chief strategy officer at Leidos, a top U.S. defense contractor; and Keith Marzullo, director of the Federal Networking and Information Technology Research & Development program. An industry session will feature discussion of corporate data analytics and how companies in the Northeast might benefit from the Hub. A breakout session organized by leaders of the above sub-groups will focus on data available for sharing and plans for the coming year.

Natural Sciences and Data Sciences Interface Workshop

Thursday, September 10, 2015 - 8:00am to 5:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
Columbia University
New York, NY 10027
United States

This workshop will highlight the benefits of integrating data science methodologies with those in the natural sciences and feature invited speakers in the field. Columbia University Natural Sciences and Data Sciences Grant submission winners (funded in part by the Gordon and Betty Moore Foundation through Grant GBMF3941 to Columbia University and the Alfred P. Sloan Foundation) will also have the opportunity to present their research results.

 

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