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Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
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- More about Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling is a comprehensive guide that covers key knowledge in this area, including univariate and multivariate statistical analysis, multivariate calibration and validation methods, soft modeling, hyperspectral data analysis, and autoencoder applications.
Format: Paperback / softback
Length: 216 pages
Publication date: 20 October 2022
Publisher: Elsevier - Health Sciences Division
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling is a comprehensive guide that delves into the realm of these methodologies in the field of chemistry. It offers a comprehensive overview, combining critical introductory approaches with the latest advanced techniques. The book begins by providing a foundational understanding of univariate and multivariate statistical analysis, laying the groundwork for subsequent chapters. It then explores multivariate calibration and validation methods, which are essential tools in chemometrics.
In the subsequent chapters, the book delves into soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry. These topics provide practical examples of the techniques employed in various chemical applications. The authors of this book have assembled a team of renowned researchers from around the world, ensuring that the content is both authoritative and up-to-date. This book serves as a valuable resource for chemists who are interested in developing their skills in multivariate data and error analysis. It provides a comprehensive roadmap for understanding and applying these methodologies to solve complex chemical problems. Whether you are a novice or an experienced researcher, Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling will be an indispensable guide for your journey into the world of data-driven chemistry.
Weight: 368g
Dimension: 227 x 151 x 19 (mm)
ISBN-13: 9780323904087
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