Fundamentals of Pattern Recognition and Machine Learning / Ulisses Braga-Neto.

Format:

Book

Author/Creator:

Braga-Neto, Ulisses de Mendonça, author.

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Machine learning.

Pattern recognition systems.

Physical Description:

1 online resource (411 pages)

Edition:

Second edition.

Place of Publication:

Cham, Switzerland : Springer, [2020]

Summary:

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.

Contents:

Introduction

Optimal Classification

Sample-Based Classification

Parametric Classification

Nonparametric Classification

Function-Approximation Classification

Error Estimation for Classification

Model Selection for Classification

Dimensionality Reduction

Clustering

Regression

Bayesian Machine Learning

Scientific

Machine Learning

Appendices.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Braga-Neto, Ulisses Fundamentals of Pattern Recognition and Machine Learning

ISBN:

9783031609503