Verlag: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 71,80
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: New.
Verlag: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 78,73
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 484 pages. 10.00x7.00x1.25 inches. In Stock.
Anbieter: SpringBooks, Berlin, Deutschland
Erstausgabe
EUR 87,95
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In den WarenkorbHardcover. Zustand: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
Verlag: Springer Nature Singapore, 2022
ISBN 10: 9811616833 ISBN 13: 9789811616839
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
EUR 107,69
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In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 468 | Sprache: Englisch | Produktart: Bücher.
Verlag: Cambridge University Press Jan 2023, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 120,43
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In den WarenkorbBuch. Zustand: Neu. Neuware - 'This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component'--.
Verlag: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 113,02
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 484 pages. 10.00x7.00x1.25 inches. In Stock.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 164,95
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 190,12
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 190,12
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811616809 ISBN 13: 9789811616808
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 196,27
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811616833 ISBN 13: 9789811616839
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 196,27
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 277,77
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 464 pages. 9.50x6.50x1.00 inches. In Stock.