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...
Enregistré dans:
| 主要作者: | |
|---|---|
| 格式: | Livre numérique |
| 语言: | Anglais |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2011. |
| 丛编: | Intelligent Systems Reference Library
18 |
| 在线阅读: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
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 |