
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling Paperback / softback
Edited by Jahan B. (Faculty of Chemistry, University of Tehran, Tehran, Iran) Ghasemi
Paperback / softback
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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.
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:216 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:20/10/2022
- Category:
- ISBN:9780323904087
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:216 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:20/10/2022
- Category:
- ISBN:9780323904087