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Introduction Algorithms Data Mining by Yang Xin She (17 results)
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Condition: New.
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Condition: New. pp. 188.
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Condition: New. pp. 188.
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Introduction to Algorithms for Data Mining and Machine Learning
Language: English
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128172169 ISBN 13: 9780128172162
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 88.15
US$ 18.76 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 188.
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Introduction to Algorithms for Data Mining and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 94.38
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Add to basketCondition: New.
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Introduction to Algorithms for Data Mining and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 100.70
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Introduction to Algorithms for Data Mining and Machine Learning
Language: English
Published by Academic Press 2019-08-01, 2019
ISBN 10: 0128172169 ISBN 13: 9780128172162
US$ 96.93
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Add to basketPaperback. Condition: New.
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Introduction to Algorithms for Data Mining and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 110.33
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Taschenbuch. Condition: Neu. Introduction to Algorithms for Data Mining and Machine Learning | Xin-She Yang | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2019 | Elsevier Inc | EAN 9780128172162 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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US$ 105.36
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Add to basketCondition: 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.
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Condition: new. Questo è un articolo print on demand.
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Add to basketPaperback. Condition: Brand New. 173 pages. 8.75x5.75x0.50 inches. In Stock. This item is printed on demand.
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Introduction to Algorithms for Data Mining and Machine Learning
Language: English
Published by Elsevier Science & Technology, Academic Press, 2019
ISBN 10: 0128172169 ISBN 13: 9780128172162
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
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Introduction to Algorithms for Data Mining and Machine Learning
Language: English
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128172169 ISBN 13: 9780128172162
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 116.79
US$ 18.76 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Introduction to Algorithms for Data Mining and Machine Learning
Language: English
Published by Elsevier Science & Technology, Academic Press, 2019
ISBN 10: 0128172169 ISBN 13: 9780128172162
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.
