Fundamentals of Pattern Recognition and Machine Learning

Released on by Ulisses Braga-Neto
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  • Fundamentals of Pattern Recognition and Machine Learning Book Detail

  • Author : Ulisses Braga-Neto
  • Release Date : 2024
  • Publisher : Springer Nature
  • Genre : Electronic books
  • Pages : 411
  • ISBN 13 : 3031609506
  • File Size : 24,24 MB
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Fundamentals of Pattern Recognition and Machine Learning by Ulisses Braga-Neto PDF Summary

Book 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.

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