Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 58,69
Anzahl: 4 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Zustand: new.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 58,67
Anzahl: 5 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 76,87
Anzahl: 2 verfügbar
In den WarenkorbHardback. Zustand: New. Second Edition 2024.
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 58,48
Anzahl: 7 verfügbar
In den Warenkorbhardcover. Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: 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.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 70,90
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 64,32
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Hardback. Zustand: New. Second Edition 2024.
Anbieter: Brook Bookstore, Milano, MI, Italien
Zustand: new.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 66,19
Anzahl: 5 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Zustand: New. Second Edition 2024 NO-PA16APR2015-KAP.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
EUR 53,35
Anzahl: 4 verfügbar
In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 104,81
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 400 pages. 9.25x6.10x10.00 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: moluna, Greven, Deutschland
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Hardback. Zustand: New. Second Edition 2024.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 71,95
Anzahl: 2 verfügbar
In den WarenkorbHardback. Zustand: New. Second Edition 2024.
Sprache: Englisch
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: 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.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 73,10
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 400 pages. 9.25x6.10x10.00 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer, Birkhäuser Aug 2024, 2024
ISBN 10: 3031609492 ISBN 13: 9783031609497
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: 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.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: 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.