Verlag: Cambridge University Press, 2008
ISBN 10: 0521717701 ISBN 13: 9780521717700
Sprache: Englisch
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
Erstausgabe
EUR 5,81
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbZustand: Very Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: Cambridge University Press, 2012
ISBN 10: 0521717701 ISBN 13: 9780521717700
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 416 | Sprache: Englisch | Produktart: Bücher.
Verlag: Cambridge University Press, 2009
ISBN 10: 0521717701 ISBN 13: 9780521717700
Sprache: Englisch
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 37,57
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780521717700.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521717701 ISBN 13: 9780521717700
Sprache: Englisch
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 67,32
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, 2008
ISBN 10: 0521717701 ISBN 13: 9780521717700
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 91,64
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: stats.ox.ac.uk/~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists.