13th Annual Machine Learning Symposium
Friday, March 1, 2019
The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York
The New York Academy of Sciences
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.
This symposium, the thirteenth in an ongoing series presented by the Machine Learning Discussion Group at the New York Academy of Sciences, will feature Keynote Presentations from leading scientists in both applied and theoretical Machine Learning and Spotlight Talks, a series of short, early career investigator presentations across a variety of topics at the frontier of Machine Learning.
Call for Abstracts
Abstract submissions are invited for a poster session. For complete submission instructions, please visit our online portal. The deadline for abstract submission is Friday, January 11, 2019.
Scientific Organizing Committee
March 01, 2019