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Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling (Paperback) Loot Price: R4,171
Discovery Miles 41 710
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling (Paperback): Jahan B....

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

Jahan B. Ghasemi

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Loot Price R4,171 Discovery Miles 41 710 | Repayment Terms: R391 pm x 12*

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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.

General

Imprint: Elsevier - Health Sciences Division
Country of origin: United States
Release date: October 2022
First published: 2023
Editors: Jahan B. Ghasemi
Dimensions: 229 x 152 x 19mm (L x W x T)
Format: Paperback
Pages: 216
ISBN-13: 978-0-323-90408-7
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Science & Mathematics > Chemistry > Physical chemistry > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 0-323-90408-4
Barcode: 9780323904087

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