Machine Learning Discussion Group
Pattern recognition wizardry—from Siri to self-driving cars
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.
Brooke Grindlinger, PhD
Steering Committee MembersThe Machine Learning Discussion Group Steering Committee, composed of leading practitioners from industry and academia, provides thought leadership to inform and shape our program portfolio.
The New York Academy of Sciences
Courant Institute of Mathematical Sciences, New York University
University of Pennsylvania