Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: Academybookshop, Long Island City, NY, U.S.A.
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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First Edition
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press CUP, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
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First Edition
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Condition: 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.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Language: English
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 312 pages. 9.61x6.85x0.87 inches. In Stock.
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Paperback. Condition: New. Brand New ! Fast Delivery "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 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 118.31
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Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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.
Language: English
Published by Cambridge University Press CUP, 2011
ISBN 10: 0521875803 ISBN 13: 9780521875806
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 298 Index.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 312 pages. 9.84x7.01x0.94 inches. In Stock.