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From curve fitting to machine learning [Elektronski vir] : an illustrative guide to scientific data analysis and computational intelligenceZielesny, AchimThe 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 intelligence. The goal of this book is to provide an interactive and illustrative guide to these topics. It concentrates on the road 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 aid of the commercial 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 so the detailed code of every method is freely accessible. All examples and applications shown throughout the book may be used and customized by the reader without any restrictionsType of material - e-bookPublication and manufacture - Berlin : Springer, 2011Language - englishISBN - 978-3-642-21280-2; 3-642-21280-8COBISS.SI-ID - 1544323551
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SpringerLink e-books 2008-2012Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij
Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions
DOI
Author
Zielesny, Achim
Collection
Intelligent systems reference library
Topics
Science |
Statistical methods |
Curve fitting |
Machine learning |
Computational intelligence |
Computational Intelligence |
Artificial Intelligence (incl. Robotics) |
Appl. Mathematics/Computational Methods of Engineering |
Computational intelligence |
Curve fitting |
Machine learning |
Science |
Statistical methods |
Ingénierie |
Electronic books
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