£154.99

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£155 today · previous high £155 · all-time low £131

Elsevier Machine Learning and Pattern Recognition in Chemistry

Amazon

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£154.99 £128.15 £134.01 £139.86 £145.72 £151.57 £157.43 25 July 2026 12 August 2026 30 August 2026 17 September 2026 06 October 2026
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Description

Explore the essential principles of multivariate and data driven modeling with this comprehensive guide from Elsevier. This book provides a foundational understanding of univariate and multivariate statistical analysis before moving into advanced topics like multivariate calibration and validation methods. Readers will gain insights into soft modeling for chemical data analysis, hyperspectral data analysis, and the specific applications of autoencoders in analytical chemistry. By combining introductory approaches with modern techniques, this text serves as a practical resource for understanding how machine learning and pattern recognition methods function within chemical research and applications.

Key Features

This Elsevier publication covers key knowledge in machine learning and pattern recognition specifically for chemical modeling.

The text provides a detailed introduction to both univariate and multivariate statistical analysis methods.

Learn about advanced multivariate calibration and validation techniques used in chemical data science.

Explore specialized topics including soft modeling, hyperspectral data analysis, and autoencoder applications in analytical chemistry.

The book provides useful examples of how these data driven modeling techniques are applied to chemistry applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 October 2022
Listed Since
10 November 2021

Barcode

No barcode data available

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