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Deep Mukhopadhyay, Ph.D.

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BIG data, BIG opportunity, BIG Tent

July 27, 2014 by deepstatorg

Question: How can we create a BIG TENT to increase visibility and IMPACT of our profession? There are two possibilities (applied inter-disciplinary and core research), and both efforts are important (and should be balanced): (a)  Applying retail algorithms working as multidisciplinary teams (as described in PDF): BIG data brings enormous interdisciplinary opportunities for statisticians. This helps to create a living for statisticians by applying (traditional) statistical tools + problem specific bells and whistles. (b) Developing wholesale algorithms  that can be translated into curriculum.  Along with Retail domain-specific problem solving (and retail paper publications), the academic statisticians need to develop wholesale algorithms (multidisciplinary utility: like AIC, Bootstrap, Knn, RKHS, SVM, Spline, RF, Lasso etc.) that other disciplines can routinely use for their data-driven (exploratory not confirmatory) research. I fear we might lose our unique identity (and spirit of our discipline—the science of learning from data) if we focus too much on solving `isolated’ problems (while busy making a living for ourselves using traditional tools + some twists and turns); otherwise, we will produce skilled biologists or engineers, not statisticians.  We need to find a balance between these two broad approaches, which have the same goal- –to advance the frontiers of statistics.]]>

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Filed Under: Blog Tagged With: BIG Tent, retail algorithm, wholesale algorithms

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Deep Mukhopadhyay

Deep Mukhopadhyay
Statistics Department
deep [at] unitedstatalgo.com

EDUCATION

  • Ph.D. (2013), Texas A&M University
  • M.S. (2008), Indian Institute of Technology (IIT), Kanpur
  • B.S. (2006), University of Calcutta, India

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