Campus Event Calendar
Event Entry
What and Who
How Statisticians and Machine Learners translate Real World Problems
Ursula Sondhauss
Max-Planck-Institut für Informatik - AG 2
AG2 Noon Meeting
AG 2
AG Audience
Note: We use this to send email in the morning.
Date, Time and Location
Thursday, 22 November 2001
14:00
-- Not specified --
46.1 - MPII
007
Saarbrücken
Abstract
Often, real world problems can be solved by statisticians as well as by machine learners. Often even the answers are very much alike. Nevertheless, on the way from problem to solution it seems difficult to understand what the other one does.
Reasons can be found in the different origins of both communities, and in the different education statisticians and machine learners get. Machine learning is pretty new, and is a part of computer sciences. Statistics is much older, is a discipline of its own, but also part of mathematics, philosophy, economics, social sciences, etc. Not only terminology is different, but also basic concepts about the "world".
I will present basic views on real world problems of statisticians and machine learners. This reveals potential pitfalls for misunderstanding from disparate, and potential benefit for teamwork from complementary views. In this way, it is intended to be a comprehensive introduction into the work of both.
Contact
Uwe Waldmann
--email hidden
passcode not visible
logged in users only
Tags, Category, Keywords and additional notes
Statistics; Machine Learning; real world problems