From Curve Fitting to Machine Learning : An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
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, clust...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2011. |
| Seri Bilgileri: | Intelligent Systems Reference Library
18 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • From Curve Fitting to Machine Learning, Texte imprimé, 9783642212796 • From Curve Fitting to Machine Learning, Texte imprimé, 9783642271120 • From Curve Fitting to Machine Learning, Texte imprimé, 9783642212819 |
İçindekiler:
- Introduction Curve Fitting Clustering Machine Learning Discussion CIP - Computational Intelligence Packages