The current boom in data science, in reality an umbrella term for diverse but loosely connected activity, has been brought about by rapid advances in techniques for collection, storage and dissemination of data, along with increased computational abilities to process it. It is on the scale of the industrial revolution except that it is now the abstract symbols rather than energy and material that is being generated, stored and distributed. This is affecting the older sciences as well where pure model based approaches are being combined with purely data driven ones, to get the best of both the worlds. The major action, however, is on a different front -- that of fast processing tools for the enormous data that is being generated, sometimes at a high speed. This is the analytic and algorithmic side of data science on which this workshop is focused. This in itself is a multi-verse, ranging from high end pure mathematics feeding it and being fed back in by it, to pure heuristics, often bas...
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