Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Academybookshop, Long Island City, NY, U.S.A.
Paperback. Condizione: Very Good. In fine, clean condition, with a TEAR or a DENT on the cover, clean pages.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: AMM Books, Gillingham, KENT, Regno Unito
EUR 13,38
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. Unread. In stock ready to dispatch from the UK.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Cotswold Internet Books, Cheltenham, Regno Unito
Prima edizione
EUR 18,47
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used - Very Good. VG paperback. 1st ed. A bright copy, almost as-new Used - Very Good. VG paperback.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Majestic Books, Hounslow, Regno Unito
EUR 30,26
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 298 47 Illus.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 298 Index.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 56,60
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: California Books, Miami, FL, U.S.A.
EUR 58,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 62,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,08
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 63,68
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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. . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 69,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 79,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 85,07
Quantità: 4 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,63
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,15
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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, neural nets, support vector machines, nearest neighbors and boosting. Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 52,84
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 56,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: CitiRetail, Stevenage, Regno Unito
EUR 63,72
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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, neural nets, support vector machines, nearest neighbors and boosting. Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Da: moluna, Greven, Germania
EUR 61,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontech.