Title: Warwick workshop on Big Data and Computational Scalability (1st July 2015)
The new Warwick Data Science Institute (WDSI) is holding a 1-day workshop on Big Data and Computational Scalability, on 1st July 2015, at the University of Warwick.
http://www2.warwick.ac.uk/fac/
The most obvious challenge of working with «big» data is that the volume can exceed what is feasible to compute with. Traditional methods can fail to scale up. Instead, we need new ways to scale state-of-the-art methods, or new methods with tractable computational complexity. Working in our favour is the fact that data often exhibits sparsity, and high support for important features. Speakers from across mathematics, statistics, machine learning and computer science will highlight techniques for scaling up to big data.
Registration is free, but compulsory.
Speakers:
Emmanuel Candes (Professor, Stanford University) Martin Wainwright (Professor, University of California at Berkeley) Alexander J. Smola (Researcher, Google and Professor, Carnegie MellonUniversity), Graham Cormode (Professor, University of Warwick)
-- Descargar WDSI Workshop: Big Data and Computational Scalability como PDF --