Articles liés à Fundamentals of Pattern Recognition and Machine Learning
Synopsis
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 includes a new chapter on the emerging topic of physics-informed machine learning and significant additions to the section on neural networks. In addition to the new chapter, Fundamentals of Pattern Recognition and Machine Learning contains other unique features such as an extensive chapter on classifier error estimation and sections on Bayesian error estimation, separate sampling designs, and rank-based classification.
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Ulisses Braga-Neto, Ph.D. is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University. His main research areas are pattern recognition, machine learning, statistical signal processing, and applications in bioinformatics and materials informatics. He has worked extensively in the field of error estimation for pattern recognition and machine learning, having received an NSF CAREER award for research in this area, and co-authored a monograph with Edward R. Dougherty on the topic. He has also made contributions to the field of Mathematical morphology in signal and image processing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 53,60
EUR 6,95 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Fundamentals of Pattern Recognition and Machine Learning
Image d'archives
FUNDAMENTALS OF PATTERN RECOGNITION & MA
Vendeur : Speedyhen, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : NEW. N° de réf. du vendeur NW9783031609497
Quantité disponible : 7 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9783031609497
Quantité disponible : 7 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Edité par
Springer International Publishing AG, 2024
ISBN 10 : 3031609492
ISBN 13 : 9783031609497
Neuf
Couverture rigide
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9783031609497
Quantité disponible : 7 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783031609497_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
hardcover. Etat : New. N° de réf. du vendeur 6666-GRD-9783031609497
Quantité disponible : 7 disponible(s)
Image fournie par le vendeur
Fundamentals of Pattern Recognition and Machine Learning
Edité par
Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10 : 3031609492
ISBN 13 : 9783031609497
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 1582626219
Quantité disponible : 5 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 47910323-n
Quantité disponible : 5 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 394763192
Quantité disponible : 1 disponible(s)
Image d'archives
Fundamentals of Pattern Recognition and Machine Learning
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 47910323-n
Quantité disponible : 5 disponible(s)
Image fournie par le vendeur
Fundamentals of Pattern Recognition and Machine Learning
Edité par
Springer International Publishing, 2024
ISBN 10 : 3031609492
ISBN 13 : 9783031609497
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a concise but thorough introduction tothe 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 levelclassroom 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 not Elektronisches Buch, which can be downloaded from the book website. N° de réf. du vendeur 9783031609497
Quantité disponible : 1 disponible(s)