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Colloquiums (FM & IMI)

Statisitical machine learning techniques for the era of Big Data

Hold Date
2013-01-16 16:45~2013-01-16 17:45
Place
Lecture Room L-1 (3F, IMI, Kyushu University)
Object person
 
Speaker
Naonori UEDA (Director of NTT Communication Science Laboratories)

The IMI Colloquium in January
 
Date:Wednesday, 16 January 2013
         16:15- tea time (at common room)
         16:45-17:45 lecture
Place:Lecture Room L-1 (3F, IMI, Kyushu University)
Speaker:Naonori UEDA, Ph.D. (Director of NTT Communication Science Laboratories)
 
Title:Statisitical machine learning techniques for the era of Big Data
 
Abstract:
The spread of social media and mobile information terminals has accelerated in recent years, and huge quantities of digital data are now being produced and stored throughout the world. We can say that the era of “big data” is now upon us. For research and business applications, it is vital to have some way of extracting new value from these huge and diverse data resources. In this talk, I introduce the recent achievements of research of machine learning for big data, focusing on Bayesian probabilistic models.
 


IMI Colloquium Report