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£46.56

Springer Fundamentals of Pattern Recognition and Machine Learning

Name: Fundamentals of Pattern Recognition and Machine Learning
Brand: Springer
Price: 46.35 GBP
Availability: InStock

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Description

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression. The Second Edition is thoroughly revised, featuring a new chapter on the emerging topic of physics-informed machine learning and additional material on deep neural networks. Combining theory and practice, this book is suitable for the graduate or advanced undergraduate level classroom and self-study. It fills the need of a mathematically-rigorous text that is relevant to the practitioner as well, with datasets from applications in bioinformatics and materials informatics used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and Keras/Tensorflow. All plots in the text were generated using python scripts and jupyter notebooks, which can be downloaded from the book website.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 3031609492
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 07 August 2024
Listed Since: 16 April 2024

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Springer Fundamentals of Pattern Recognition and Machine Learning

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