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9781032071596 - Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction by Tsai, Kao-tai (20 results)
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Machine Learning for Knowledge Discovery With R : Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: New.
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MACHINE LEARNING FOR KNOWLEDGE DISCOVERY WITH R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
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.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: New.
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MACHINE LEARNING FOR KNOWLEDGE DISCOVERY WITH R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Machine Learning for Knowledge Discovery With R : Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: As New. Unread book in perfect condition.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: New.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Condition: New.
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Machine Learning for Knowledge Discovery With R : Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Machine Learning for Knowledge Discovery With R : Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 60.71
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: Brand New. 260 pages. 9.19x6.13x0.59 inches. In Stock.
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Machine Learning for Knowledge Discovery with R | Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Taschenbuch. Condition: Neu. Machine Learning for Knowledge Discovery with R | Methodologies for Modeling, Inference and Prediction | Kao-Tai Tsai | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781032071596 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning for Knowledge Discovery with R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 61.44
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning for Knowledge Discovery with R
Language: English
Published by Chapman And Hall/CRC Sep 2023, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
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 -Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein.Key Features:Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies.Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.Written by statistical data analysis practitioner for practitioners.The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications. 262 pp. Englisch.
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Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 65.32
£ 15.75 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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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Kao-Tai Tsai obtained his Ph.D. in Mathematical Statistics from University of California, San Diego and had worked at AT&T Bell Laboratories to conduct statistical research, modelling, and exploratory data analysis. After that, he jo.
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Machine Learning for Knowledge Discovery with R : Methodologies for Modeling, Inference and Prediction
Language: English
Published by Chapman And Hall/CRC, 2023
ISBN 10: 1032071591 ISBN 13: 9781032071596
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein.Key Features:Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies.Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.Written by statistical data analysis practitioner for practitioners.The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.
