Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
Book Details
Format
Paperback / Softback
ISBN-10
0323904084
ISBN-13
9780323904087
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Oct 20th, 2022
Print length
216 Pages
Weight
362 grams
Dimensions
22.70 x 15.10 x 1.90 cms
Product Classification:
Physical chemistryMachine learningPattern recognition
Ksh 27,900.00
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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.
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