Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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hardcover. Condition: Very Good. Some shelf wear.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Good. Minor tear on spine's hinge.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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hardcover. Condition: VeryGood. Warped, A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: Textbooks_Source, Columbia, MO, U.S.A.
hardcover. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press CUP, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Condition: New. pp. 775.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Hardcover. Condition: new. Hardcover. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning. This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are several chapters on regression, including neural networks and deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press 2020-01-31, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Add to basketHardcover. Condition: new. Hardcover. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning. This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are several chapters on regression, including neural networks and deep learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Add to basketHardback. Condition: New. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Add to basketCondition: New. This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are sev.
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Add to basketHardcover. Condition: new. Hardcover. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning. This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are several chapters on regression, including neural networks and deep learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 766 pages. 10.00x7.25x1.75 inches. In Stock.
Published by Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Published by Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: New. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.