Past Events

Alma Mater

Tuesday, October 27, 2015 - 2:00pm to 3:00pm
414 CEPSR (Sindeband East) 530 West 120th Street
Columbia University
New York, NY 10027
United States

Anna Choromanska, Courant Institute of Mathematical Sciences, New York University

Title: Optimization for large-scale machine learning: large data and large model

Monday, October 26, 2015 - 6:00pm to 7:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
Columbia University
New York, NY 10027
United States

Alex Cosmas
Chief Scientist | Booz Allen Hamilton

The analytics community has invested significant resources in developing effective predictive analytical methods. However, even the most accurate predictive forecasts have limited value unless they can also provide clear action steps to bring about desired results.  In other words, the cause of the data is more important than the data itself.  Alex will introduce causal inference in the context of Bayesian Belief Networks (BBNs).  BBN’s produce accurate predictive forecasts, but with appropriate modeler input are also able to identify causal relationships between variables and pinpoint drivers of desired targets. With causal relationships identified, BBNs may be used in a prescriptive fashion in order to make actionable decisions.  Alex will dive into a case study in the aviation space which identifies causal drivers of daily flight operations on flight delays and allows us to prescribe delay-reduction plans by acting on controllable drivers.

Friday, October 23, 2015 - 9:00am to 10:00am
United States

Abstract: High-dimensional discrete data are collected in many application areas, but have seen limited consideration in the literature.

Thursday, October 15, 2015 - 5:00pm to 6:00pm
United States

Dr. David Heckerman
​Distinguished Scientist, Microsoft Research

One obvious way to get more power out of association studies is to analyze more data. Large studies, however, are often confounded by relatedness among individuals, leading to the need for sophisticated statistical methods such as the linear mixed model. Unfortunately, these models have traditionally required an inordinate amount of computation.

Dr. Heckerman will show how these methods can be made very fast, facilitating their use on large data and will also describe some additional tricks to get more power out of association studies.

Thursday, October 15, 2015 - 2:30pm to 4:00pm
United States

USPTO Seminar: 

IP Primer and Considerations for Inventors, Entrepreneurs, and Startups
IP Considerations for Inventors, Entrepreneurs, and Startups

Wednesday, September 30, 2015 - 6:00pm to 7:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
Columbia University
New York, NY 10027
United States

Jason Rosenfeld
Director of Basketball Analytics, NBA

Michael Lewis's 2003 bestseller Moneyball illustrated the power of effectively utilizing analytics in baseball.  His book ignited a sports analytics revolution by showing how data-driven decision making processes could be as valuable as a multimillion dollar advantage in player spending.

In the past several years, an online basketball analytics community (APBR) has flourished, developing tools to evaluate teams, players and strategies.  Basketball teams have been hiring analysts at an ever-increasing rate, and even the style of NBA play is changing before our eyes.

Furthermore, starting in 2013, every NBA arena became equipped with the SportVU software. Utilizing six cameras installed in the catwalks of every NBA arena, SportVU tracks the movement of every player on the court and the basketball 25 times per second. 

Monday, September 28, 2015 - 9:00am to 6:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
Columbia University
New York, NY 10027
United States

DARPA GRAPHS/SIMPLEX Workshop:

Data, Algorithms and Problems on Graphs

Tuesday, September 15, 2015 - 9:00am to 11:59pm
United States

The goals of the Engineering for Natural Hazards (ENH) program are to prevent natural hazards from becoming disasters, and to broaden consideration of natural hazards independently to the consideration of the multi-hazard environment within which

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.

Tuesday, June 16, 2015 - 12:00pm to 1:30pm
United States

Join us for our interactive online information session which provides an overview of the Certification of Professional Achievement and the Master of Science in Data Science programs, including admission criteria, financial aid and student life!

Pages

Back to Top