Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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ISBN 10: 1108473989 ISBN 13: 9781108473989
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In den Warenkorbhardcover. Zustand: VeryGood. Warped, A copy that may have been read, very minimal wear and tear. May have a remainder mark.
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ISBN 10: 1108473989 ISBN 13: 9781108473989
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ISBN 10: 1108473989 ISBN 13: 9781108473989
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ISBN 10: 1108473989 ISBN 13: 9781108473989
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In den WarenkorbZustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbBuch. Zustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbZustand: New. 2020. 2nd Edition. Hardcover. . . . . .
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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ISBN 10: 1108473989 ISBN 13: 9781108473989
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In den WarenkorbZustand: New. pp. 775.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbZustand: New. 2020. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Verlag: Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 766 pages. 10.00x7.25x1.75 inches. In Stock.
Verlag: Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 766 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Verlag: Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Sprache: Englisch
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. 775.