Triangle Machine Learning Day

We are pleased toannounce the first Triangle Machine Learning Day, hosted at Duke University.This event is modeled after similar events occurring in New York and Boston.The goal is to bring together researchers and applied scientists working in alldifferent areas of machine learning, including industrial applications,academic theory, and everything in between, for a day of technical talks andposters.

The event is open to anyone interested in machine learning working in theTriangle area.

Topics include predictive modeling and data science applications, algorithmdesign, reinforcement learning, natural language processing, etc.

Registration for full time students is free, there is a $20 registration costfor non-students. Breakfast and lunch will be provided for all participants.

Confirmed Speakers:
- Mohit Bansal, UNC
- Larry Carin, Duke
- Marie Davidian, NCSU
- Stacy Joines, IBM
- Cynthia Rudin, Duke
- Danny Siegle, Founder of Deep Learning RTP Meetup "Getting Started inDeep Learning"
- Matthew Phillips, Kitware
- Melinda Thielbar, SAS

The program will include a poster session, and anyone wishing to contribute aposter must submit an abstract; not all abstracts will be selected as posters,depending on space limitations.  The due date for poster submissions isFebruary 15 and poster selections will be announced on March 15.

The event will run for the full day, and free parking on Duke's campus will beprovided for all registrants.

Registration, travel information, poster submission, and more details:
www.trianglemlday.org

For questions contact either Richard Lucic (lucic@cs.duke.edu) for logistics questions or Professor Cynthia Rudin (cynthia@cs.duke.edu) for technical questions.