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From Curve Fitting to Machine Learning.

Author: Achim Zielesny
Publisher: Dordrecht : Springer, 2011.
Series: Intelligent Systems Reference Library, 18.
Edition/Format:   eBook : Document : English
Summary:
The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clustering and machine learning belong to these modern techniques which are a further step towards computational  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Zielesny, Achim.
From Curve Fitting to Machine Learning.
Dordrecht : Springer, ©2011
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Achim Zielesny
ISBN: 9783642212802 3642212808 9783642212796 3642212794
OCLC Number: 753480350
Description: 1 online resource (475 pages).
Contents: Introduction --
Curve Fitting --
Clustering --
Machine Learning --
Discussion --
CIP --
Computational Intelligence Packages.
Series Title: Intelligent Systems Reference Library, 18.

Abstract:

Experimental data analysis is at the core of scientific inquiry, and computers have taken this function to a new level. This volume is an interactive guide to complex modern analytical processes from  Read more...

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From the reviews:"`From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many Read more...

 
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