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Fundamentals of Pattern Recognition and Machine Learning

By Ulisses Braga-Neto

Fundamentals of Pattern Recognition and Machine Learning

By Ulisses Braga-Neto

0 - Default Title
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 details
Binding:
Paperback
Edition:
2
Number of Pages:
424
Release Date:
2025-08-08
Publication Date:
2025-08-08
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031609522
ISBN13:
9783031609527
GPSR Manufacturer Reference:
[email protected]
Weight:
793 g
Height:
178 cm
Width:
254 cm
Thickness:
23 cm
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