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
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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
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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
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In den WarenkorbZustand: New. pp. 298 47 Illus.
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.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. Series: Practical Guides to Biostatistics and Epidemiology. Num Pages: 298 pages, 47 b/w illus. 25 tables. BIC Classification: MBNS. Category: (U) Tertiary Education (US: College). Dimension: 247 x 175 x 19. Weight in Grams: 596. . 2011. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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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.