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Computational Methods for Data Analysis - by Yeliz Karaca & Carlo Cattani (Paperback) - 1 of 1

Computational Methods for Data Analysis - by Yeliz Karaca & Carlo Cattani (Paperback)

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About this item

Highlights

  • This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics.
  • About the Author: Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
  • 395 Pages
  • Mathematics, Applied

Description



About the Book



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 devel



Book Synopsis



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.



About the Author



Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .81 Inches (D)
Weight: 1.38 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 395
Genre: Mathematics
Sub-Genre: Applied
Publisher: De Gruyter
Format: Paperback
Author: Yeliz Karaca & Carlo Cattani
Language: English
Street Date: December 17, 2018
TCIN: 1011989279
UPC: 9783110496352
Item Number (DPCI): 247-15-6146
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.81 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1.38 pounds
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