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Deep Mukhopadhyay, Ph.D.

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The Scientific Core of Data Analysis

November 26, 2015 by deepstatorg

Richard Courant‘s view: “However, the difficulty that challenges the inventive skill of the applied mathematician is to find suitable coordinate functions.” He also noted that “If these functions are chosen without proper regard for the individuality of the problem the task of computation will become hopeless.” This leads me to the following conjecture: Efficient nonparametric data transformation or representation scheme is the basis for almost all successful learning algorithms–the Scientific Core of Data Analysis–that should be emphasized in research, teaching, and practice of 21st century Statistical Science to develop a systematic and unified theory of data analysis (Foundation of data science).]]>

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Filed Under: Blog Tagged With: 21st-century statistics, Core of Data Analysis, Data Science, Next-Generation Statisticians

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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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