Statistics Colloquium
October 13 Friday, 11 a.m.
Alavi Commons Room, 6625 Everett Tower

The statistics behind emerging data science and machine learning

Yusuf Bilgic
Assistant Professor of Mathematics
State University of NY at Geneseo

Statistics, mathematics, data management and computer programming have been merged in "data science and machine learning". The important role of statistics continues with responsibility on the improvement and scientific foundations of "data and algorithmic modeling".

The talk covers technical and nontechnical discussions about some of the new developments for data and algorithmic modeling through the eyes of a statistician who has designed a machine learning course for a mathematics department. I will briefly cover three "winner" algorithms for classification, linear discriminant analysis, neural networks, and support vector machines. There are plenty of opportunities for statisticians to use and develop similar algorithms in various areas of application.

I will attempt to predict the direction of data and algorithmic modeling for the next 50 years as well as the fate of statistics without using any winner algorithms.
All statistics graduate students are expected to attend.


Past colloquiums


Department of Statistics
3304 Everett Tower
Western Michigan University
Kalamazoo MI 49008-5152 USA
(269) 387-1420 | (269) 387-1419 Fax