Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: AMM Books, Gillingham, KENT, Vereinigtes Königreich
EUR 13,13
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. Unread. In stock ready to dispatch from the UK.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Cotswold Internet Books, Cheltenham, Vereinigtes Königreich
Erstausgabe
EUR 18,54
Anzahl: 1 verfügbar
In den WarenkorbZustand: Used - Very Good. VG paperback. 1st ed. A bright copy, almost as-new Used - Very Good. VG paperback.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 28,72
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. 298 47 Illus.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
Erstausgabe
EUR 14,81
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Like New. First Edition. Firm, square and tight with sturdy hinges, just showing a few minor bumps and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is in nearly new condition. Thus the contents are crisp, fresh and clean. Offered for sale at a very sensible price.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 73,87
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 192,32
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 312 pages. 9.84x7.01x0.94 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting.