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From Curve Fitting to Machine Learning
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...
Autor principal: | Zielesny, Achim |
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Lenguaje: | eng |
Publicado: |
Springer
2011
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1414316 |
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