May 14, 2013 · 6:30 PM
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Eric Schles will present on statistical programming with C++. Location details will be provided in early May. Depending on the location, we may up the attendance limit then.
Abstract: Statistics in C++ can be useful because of the efficiency of the language. Come take a guided tour of the fundamental constructs: Starting with an introduction to distributions including how to visualize them in C++. Next point statistics like means and standard deviations. Then onto Ordinary least squares and visualization of OLS in data. Last but not least an introduction to programming decision trees and neural networks.
About Eric: Eric Schles is a Graduate student and Researcher at Polytechnic Institute of New York University. Has master's and undergraduate degrees in Economics and Mathematics. For his masters work he specialized in Econometrics, Financial Engineering, Environmental Engineering, Computational Econometrics, Abstract Algebra and Topology. His research focuses on implementing large systems in order to capture data for economic and political interpretation. He has worked as a Researcher at the Stern School of business, at the Economics Department of SUNY Buffalo and Cybersecurity research at NYU-Poly. In his professional life he has been a consulting Entrepreneur, helping launch over 20 early stage start ups and consulted as an economist/statistician. He also lectures part time for the ACM club at Courant weekly.