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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Learning From Data
DTSTART:20110518T150000
DTSTAMP:20260410T152250Z
UID:3c8dfeeac36315f54d8ff426146f33c1e82e82c3bf5c92e88c466f50
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Yaser S. Abu-Mostafa\, Caltech\nLearning from data (also
  referred to as machine learning or computational learning) has become one
  of the most influential fields in engineering and science. It has had a d
 ecisive impact on a number of applications including search engines\, fina
 ncial forecasting\, recommendation systems\, and medical image recognition
 \, among others. The field addresses a fundamental question that arises in
  many research projects and practical applications\, which is how to uncov
 er the underlying process given a set of observations. There are strong th
 eoretical underpinnings to when learning from data is feasible\, and a wid
 e range of algorithms and techniques that make it possible. In this talk\,
  I will review the theory\, algorithms\, and applications of learning from
  data\, highlighting the important concepts and techniques. The goal is to
  enable research workers to identify areas within their research that can 
 benefit from learning from data.
LOCATION:MEB010
STATUS:CONFIRMED
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