Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
Jahan B. Ghasemi
ISBN 10: 0323904084 ISBN 13: 9780323904087
Verlag: Elsevier Inc, 2022
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Beschreibung
Beschreibung:
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling | Jahan B. Ghasemi | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2022 | Elsevier Inc | EAN 9780323904087 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120820427
Inhaltsangabe:
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.
Über die Autorin bzw. den Autor: Dr. Jahan B Ghasemi received his PhD from Shiraz University. He was a visiting Scientist at the University of Chalmers in 2001 and Delaware University in 2006. His current research interests are focused on chemometrics and data analysis and computational drug design. He is the author of more than 200 papers and 4 chapter books in international journals and books.
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Bibliografische Details
Titel: Machine Learning and Pattern Recognition ...
Verlag: Elsevier Inc
Erscheinungsdatum: 2022
Einband: Taschenbuch
Zustand: Neu