Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
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Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling by Jahan B Ghasemi
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.
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.
| SKU | Nicht verfügbar |
| ISBN 13 | 9780323904087 |
| ISBN 10 | 0323904084 |
| Titel | Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling |
| Autor | Jahan B Ghasemi |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | Elsevier - Health Sciences Division |
| Erscheinungsjahr | 2022-10-20 |
| Seitenanzahl | 216 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |