Computational Methods for Data Analysis
Book Details
Format
Paperback / Softback
Book Series
De Gruyter Textbook
ISBN-10
3110496356
ISBN-13
9783110496352
Publisher
De Gruyter
Imprint
De Gruyter
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 17th, 2018
Print length
395 Pages
Weight
753 grams
Product Classification:
AnthropologyEconometricsAlgebraProbability & statisticsApplied mathematics
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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.
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.
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