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Intelligent Systems Reference Library

From Curve Fitting to Machine Learning

An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

Autoren: Zielesny, Achim

  • Serves as introduction to curve fitting, clustering and machine learning along with topics like mathematical optimization or evolutionary algorithms
  • Outlines all concepts and ideas in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics
  • Extended, revised and interactive 2nd edition updated to the use of CIP 2.0 for Mathematica 10 
Weitere Vorteile

Dieses Buch kaufen

eBook 166,59 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-32545-3
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 213,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-32544-6
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'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 books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).

Inhaltsverzeichnis (5 Kapitel)

Dieses Buch kaufen

eBook 166,59 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-32545-3
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 213,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-32544-6
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
From Curve Fitting to Machine Learning
Buchuntertitel
An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
Autoren
Titel der Buchreihe
Intelligent Systems Reference Library
Buchreihen Band
109
Copyright
2016
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing Switzerland
eBook ISBN
978-3-319-32545-3
DOI
10.1007/978-3-319-32545-3
Hardcover ISBN
978-3-319-32544-6
Buchreihen ISSN
1868-4394
Auflage
2
Seitenzahl
XV, 498
Anzahl der Bilder und Tabellen
143 schwarz-weiß Abbildungen, 200 Abbildungen in Farbe
Themen