-------- Forwarded Message --------
Subject: Complimentary Webinar: Everything changes: in-motion analytics
for data in-motion
Date: Mon, 24 Nov 2014 15:58:57 +0000
From: Aqeela Rahman <[log in to unmask]>
Reply-To: List for big data community <[log in to unmask]>
To: [log in to unmask]

Webinar Abstract:

Real-time analytics represent the frontier of Big Data analysis. A
convergence of technologies and statistical methodology are now making
it impossible to extract live insights from real-time data streams,
across a broad spectrum of use cases. For this technological wave to
reach its full potential, however, capabilities must rise above simple
queries and event processing, to full-scale real-time machine learning.
This presents significant challenges, most notably the need for online
efficient model updates, and the ability to behave robustly against
unforeseen changes in the data distribution. We present a selective
overview of the challenges, and available methodology for streaming
machine learning, across both academia and industry.

Speaker Bio:

Dr Christoforos Anagnostopoulos

Christoforos holds a BA in Mathematics from Cambridge University and a
PhD in Mathematics from Imperial College, specializing in intelligent
streaming data analysis. He is a Lecturer in Statistics at the
Department of Mathematics in Imperial College, where he teaches advanced
statistics. His research is in computational statistics with particular
focus on streaming datasets. Christoforos is the co-Founder and the
Chief Science Officer of Mentat Innovations.

Link to register the webinar:

Sachin Garg <[log in to unmask]>
Doctoral Student
School of Policy, Government & Intl. Affairs
George Mason University
3351 Fairfax Drive MS3B1, Arlington, VA 22201, USA
Phone: +1-703-993-8647  Cell: +1-703-996-9445