Symposium - New York, United States
In our current digital age, a wealth of data is available at our fingertips. Often, the value of this 'Big Data' is not in the data itself, but in the ability to learn from it in order to make predictions. Machine Learning, a branch of artificial intelligence, 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 functionality, medical diagnosis, credit card fraud detection, and stock market analysis.
This symposium — part of 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. Keynote Speakers include Pedro Domingos, Yoshua Bengio, and Elad Hazan.
- Organization: New York Academy of Sciences
Fri, Mar 13, 2015 - Fri, Mar 13, 2015 (9:00am - 5:00pm)
7 World Trade Cetner
250 Greenwich st, New York, United States
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