[ml] SFBay ML Meetup Tonight

[Tony Tran]

Hi all,

just wanted to let you guys know about a Machine Learning meetup going 
on tonight (6:30pm-8:30pm): 
http://www.meetup.com/SF-Bayarea-Machine-Learning/events/17382622/

Here's some info on the talk:
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*Nakul Verma* will be our main speaker.

*Title:  * Learning with data having low intrinsic dimension*
*

*Abstract:*
In several machine learning applications, data is typically represented 
in very high dimensions. This rich representation of data comes at a 
cost: the accuracy of classification and prediction algorithms scale 
poorly with data dimension. This is commonly referred to as the 'curse 
of dimensionality'. In this talk we will study typical real-world data 
more closely. We will see that even though the data is represented in 
high dimensions, it generally only has few relevant degrees of freedom. 
We shall call these few degrees of freedom as the 'intrinsic' dimension 
of the data. We will systematically characterize what we mean by 
intrinsic dimension and survey various machine learning techniques 
developed recently to exploit such intrinsic structure. We will explore 
how to find compact representations of such data and how modifications 
to existing learning algorithms can help 'escape' the curse of 
dimensionality.   


*Speaker Bio:*
Nakul Verma is a Ph.D. candidate in the Computer Science Department at 
UC San Diego. His primary area of research involves high dimensional 
data analysis and its effects on learning algorithms.

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cheers,
-Tony