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Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470371927 ISBN 13: 9780470371923
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Published by John Wiley and Sons Ltd, 2009
ISBN 10: 0470371927 ISBN 13: 9780470371923
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First Edition
Condition: New. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 246 pages, Illustrations. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 163 x 237 x 19. Weight in Grams: 534. . 2009. 1st Edition. Hardcover. . . . .
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Published by John Wiley and Sons Ltd, 2009
ISBN 10: 0470371927 ISBN 13: 9780470371923
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Condition: New. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 246 pages, Illustrations. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 163 x 237 x 19. Weight in Grams: 534. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470371927 ISBN 13: 9780470371923
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Hardcover. Condition: Brand New. 1st edition. 246 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
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Published by John Wiley & Sons Inc, New York, 2009
ISBN 10: 0470371927 ISBN 13: 9780470371923
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Hardcover. Condition: new. Hardcover. An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification Regression with support vector machines Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.