MLSS '05 - Chicago

Machine Learning Summer School 2005 - Chicago

Description

Machine learning is a field focused on making machines learn to make predictions from examples. It combines elements of mathematics, computer science, and statistics with applications in biology, physics, engineering and any other area where automated prediction is necessary. This short summer school is an intense introduction to the basics of machine learning and learning theory with various additional advanced topics covered. It is appropriate for anyone interested in learning this material.

 

Introduction
David McAllester, John Langford
Lectures
Robert Schapire
3 comments 
Zoubin Ghahramani
6 comments 
Interviews with students
Debates
John Langford, Partha Niyogi, Yann LeCun, Yasemin Altun, Zoubin Ghahramani, David McAllester, Sanjoy Dasgupta
John Langford, Robert Schapire, Yann LeCun, Yoram Singer, Mikhail Belkin
John Langford, Robert Schapire, Yann LeCun, Yoram Singer, Yasemin Altun, David McAllester
Rich Caruana, John Langford, Mikhail Belkin, Adam Kalai

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