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Learning Data Concepts Theory (21 results)
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Condition: very_good. Used book in very good and clean conditions. Minor cosmetic defects may be present. Pages and cover intact. May include library marks, notes marks and highlighting. Fast Shipping.
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.7.
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US$ 6.22
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:
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US$ 21.17
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Add to basketCondition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pencil markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780471154938.
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Learning from Data: Concepts, Theory, and Methods
Published by Wiley-IEEE Press (edition 2), 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Language: English
Hardcover. Condition: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Learning from Data : Concepts, Theory, and Methods
Published by Wiley & Sons, Incorporated, John, 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Language: English
Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Condition: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Learning from Data: Concepts, Theory, and Methods Second Edition
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Fine. 2nd edition, 560 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Hardcover. Condition: new. Prompt service guaranteed.
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US$ 172.05
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US$ 170.71
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Learning from Data : Concepts, Theory, and Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 203.10
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Learning from Data: Concepts, Theory, and Methods (Wiley - IEEE)
Published by Wiley-Blackwell 2007-09-11, 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Language: English
US$ 202.96
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Add to basketHardcover. Condition: New.
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Learning from Data: Concepts, Theory, and Methods
Published by John Wiley & Sons Inc, 2007
ISBN 10: 0471681822 ISBN 13: 9780471681823
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 203.11
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 942.
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US$ 263.67
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Add to basketHardcover. Condition: Brand New. 2nd edition. 538 pages. 9.75x6.50x1.25 inches. In Stock.
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Learning from Data : Concepts, Theory, and Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 266.53
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US$ 255.61
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US$ 286.27
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US$ 276.16
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Add to basketBuch. Condition: Neu. Neuware - An interdisciplinary framework for learning methodologies-now revised and updatedLearning from Data provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science.Since the first edition was published, the field of data-driven learning has experienced rapid growth. This Second Edition covers these developments with a completely revised chapter on support vector machines, a new chapter on noninductive inference and alternative learning formulations, and an in-depth discussion of the VC theoretical approach as it relates to other paradigms.Complete with over one hundred illustrations, case studies, examples, and chapter summaries, Learning from Data accommodates both beginning and advanced graduate students in engineering, computer science, and statistics. It is also indispensable for researchers and practitioners in these areas who must understand the principles and methods for learning dependencies from data.
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US$ 242.74
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Add to basketHardcover. Condition: Brand New. 2nd edition. 538 pages. 9.75x6.50x1.25 inches. In Stock. This item is printed on demand.
