Machine Learning Discussion Group

Pattern recognition wizardry—from Siri to self-driving cars

Machine Learning Discussion Group

Machine Learning, a subfield of computer science, involves the development of mathematical algorithms that discover knowledge from specific data sets, and then "learn" from the data in an iterative fashion that allows predictions to be made. Today, Machine Learning has a wide range of applications, including natural language processing, search engine optimization, medical diagnosis and treatment, financial fraud detection, and stock market analysis.

The Machine Learning Discussion Group holds an annual symposium each spring to discuss advanced research related to such topics. Participants come from a variety of disciplines and from both academic and industry institutions, promoting the exchange of new insights between communities.



Did you know that researchers have developed a model using machine learning that can predict serious complications in premature births with greater than 90% accuracy? This advance could help doctors identify the sickest babies and save billions of dollars in health care costs.


Contact

Jennifer L. Costley, PhD

212.298.8675

Steering Committee Members

The Machine Learning Discussion Group Steering Committee, composed of leading practitioners from industry and academia, provides thought leadership to inform and shape our program portfolio.

Machine Learning Discussion Group
Naoki Abe, PhD
IBM Research
Machine Learning Discussion Group
Corinna Cortes, PhD
Google Research
Machine Learning Discussion Group
Jennifer L. Costley, PhD
The New York Academy of Sciences
Machine Learning Discussion Group
Patrick Haffner, PhD
Interactions Corporation
Machine Learning Discussion Group
Tony Jebara, PhD
Columbia University
Machine Learning Discussion Group
John Langford, PhD
Microsoft Research
Machine Learning Discussion Group
Mehryar Mohri, PhD
Courant Institute of Mathematical Sciences, New York University
Machine Learning Discussion Group
Alexander Rakhlin, PhD
University of Pennsylvania
Machine Learning Discussion Group
Gunnar Rätsch, PhD
ETH Zürich
Machine Learning Discussion Group
Robert Schapire, PhD
Microsoft Research