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From curve fitting to machine learning : an illustrative guide to scientific data analysis and computational intelligence / Achim Zielesny.

By: Material type: TextTextSeries: Intelligent systems reference library ; v 109.Publication details: Switzerland : Springer, 2016.Edition: 2nd edDescription: xv, 498 pages : illustrations (some color) ; 24 cmISBN:
  • 9783319325446
Subject(s): DDC classification:
  • 006.3 23 Z66
Contents:
1. Introduction.- 2. Curve Fitting.- 3. Clustering.- 4. Machine Learning.- 5. Discussion.- A. CIP -Computational Intelligence Packages.
Summary: 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 non-linear curve fitting to clustering and machine learning.
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Includes bibliographical references and index.

1. Introduction.-
2. Curve Fitting.-
3. Clustering.-
4. Machine Learning.-
5. Discussion.-
A. CIP -Computational Intelligence Packages.

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 non-linear curve fitting to clustering and machine learning.

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