Introduction Algorithms Data Mining by Yang Xin She (11 results)

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  • Language: English

    Published by Academic Press, 2019

    0128172169 / 9780128172162

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  • Language: English

    Published by Academic Press, 2019

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  • Language: English

    Published by Academic Press, 2019

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    • Softcover

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  • Language: English

    Published by Academic Press, 2019

    0128172169 / 9780128172162

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Academic Press, 2019

    0128172169 / 9780128172162

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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    Language: English

    Published by Elsevier Inc, 2019

    0128172169 / 9780128172162

    • Softcover

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    Taschenbuch. Condition: Neu. Introduction to Algorithms for Data Mining and Machine Learning | Xin-She Yang | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Elsevier Inc | EAN 9780128172162 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

  • Language: English

    Published by Elsevier Science, 2019

    0128172169 / 9780128172162

    • Softcover

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    Condition: New. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study.

  • Language: English

    Published by Academic Press 2019-08, 2019

    0128172169 / 9780128172162

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    Seller: Chiron Media, Wallingford, United KingdomChiron Media

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    PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Language: English

    Published by Elsevier Science & Technology, Academic Press, 2019

    0128172169 / 9780128172162

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Englisch.…

  • Language: English

    Published by Elsevier Science Publishing Co Inc, 2019

    0128172169 / 9780128172162

    • Softcover
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    Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE

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    Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

    Published by Elsevier Inc, 2019

    0128172169 / 9780128172162

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.…