Computational Methods for Data Analysis (De Gruyter Textbook) (De Gruyter STEM)

by Yeliz Karaca and Carlo Cattani

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This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.
  • ISBN10 3110496356
  • ISBN13 9783110496352
  • Publish Date 17 December 2018
  • Publish Status Active
  • Publish Country DE
  • Imprint De Gruyter