Téléchargez le livre : Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling

Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling



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Éditeur :

Elsevier Science


Paru le : 2022-10-20



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Description
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an introduction of univariate and multivariate statistical analysis, the book then explores multivariate calibration and validation methods. Soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry are then discussed, providing useful examples of the techniques in chemistry applications. Drawing on the knowledge of a global team of researchers, this book will be a helpful guide for chemists interested in developing their skills in multivariate data and error analysis. - Provides an introductory overview of statistical methods for the analysis and interpretation of chemical data - Discusses the use of machine learning for recognizing patterns in multidimensional chemical data - Identifies common sources of multivariate errors
Pages
216 pages
Collection
n.c
Parution
2022-10-20
Marque
Elsevier Science
EAN papier
9780323904087
EAN PDF
9780323907064
Informations sur l'ebook
Nombre pages copiables
21
Nombre pages imprimables
21
Taille du fichier
15114 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
184,63 €
EAN EPUB SANS DRM
9780323907064
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
184,63 €

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