Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 58,11
Cantidad disponible: 4 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 64,87
Cantidad disponible: 4 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 63,00
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 64,09
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 67,11
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 58,23
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: new.
Librería: Speedyhen LLC, Hialeah, FL, Estados Unidos de America
EUR 69,81
Cantidad disponible: 8 disponibles
Añadir al carritoCondición: NEW.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,09
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 76,58
Cantidad disponible: 2 disponibles
Añadir al carritoHardback. Condición: New. Second Edition 2024.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 76,75
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 58,28
Cantidad disponible: 7 disponibles
Añadir al carritohardcover. Condición: New.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 70,62
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 78,58
Cantidad disponible: 2 disponibles
Añadir al carritoHardback. Condición: New. Second Edition 2024.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 63,64
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 65,95
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Brook Bookstore, Milano, MI, Italia
EUR 53,49
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: new.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 92,87
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Second Edition 2024 NO-PA16APR2015-KAP.
EUR 53,17
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: NEW.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 88,90
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Revaluation Books, Exeter, Reino Unido
EUR 105,11
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 400 pages. 9.25x6.10x10.00 inches. In Stock.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: moluna, Greven, Alemania
EUR 67,49
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 80,98
Cantidad disponible: 2 disponibles
Añadir al carritoHardback. Condición: New. Second Edition 2024.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,54
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Rarewaves.com UK, London, Reino Unido
EUR 71,71
Cantidad disponible: 2 disponibles
Añadir al carritoHardback. Condición: New. Second Edition 2024.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 118,55
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: Revaluation Books, Exeter, Reino Unido
EUR 72,86
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 400 pages. 9.25x6.10x10.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 69,54
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 400 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Birkhäuser Aug 2024, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 69,54
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 not Elektronisches Buch, which can be downloaded from the book website.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch.
Librería: preigu, Osnabrück, Alemania
EUR 62,35
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Fundamentals of Pattern Recognition and Machine Learning | Ulisses Braga-Neto | Buch | xxi | Englisch | 2024 | Springer | EAN 9783031609497 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.