Summary

October 18, 2024 | 9:00 AM – 6:00 PM

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 fifteenth in an ongoing series presented by the Machine Learning Discussion Group at The New York Academy of Sciences, will feature:

• Keynote Presentations from leading researchers in both applied and theoretical Machine Learning
• Spotlight Talks: A series of short, early-career investigator podium presentations across a variety of topics at the frontier of Machine Learning; and
• Poster Presentations

Agenda

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