Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 13,13
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Academybookshop, Long Island City, NY, Estados Unidos de America
EUR 9,71
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. In fine, clean condition, with a TEAR or a DENT on the cover, clean pages.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: AMM Books, Gillingham, KENT, Reino Unido
EUR 13,34
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Very Good. Unread. In stock ready to dispatch from the UK.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Cotswold Internet Books, Cheltenham, Reino Unido
Original o primera edición
EUR 18,49
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Used - Very Good. VG paperback. 1st ed. A bright copy, almost as-new Used - Very Good. VG paperback.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Majestic Books, Hounslow, Reino Unido
EUR 28,67
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 298 47 Illus.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 34,19
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 298 Index.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 40,51
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 40,51
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 41,30
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
EUR 42,18
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 42,26
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 42,26
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 52,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 54,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 56,88
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 59,66
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 53,88
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 53,77
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 63,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 82,22
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 73,32
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 75,45
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 49,98
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 53,78
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: CitiRetail, Stevenage, Reino Unido
EUR 60,81
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: moluna, Greven, Alemania
EUR 58,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 88,75
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Librería: preigu, Osnabrück, Alemania
EUR 63,20
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Statistical Learning for Biomedical Data | James D. Malley (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2011 | Cambridge University Press | EAN 9780521699099 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.