Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 58,06
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Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 53,82
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Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 65,83
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Editore: Cambridge University Press CUP, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 63,55
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 71,52
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 63,86
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Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 65,31
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Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 63,87
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 70,78
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 87,84
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Aggiungi al carrelloHardcover. Condizione: Brand New. 270 pages. 9.00x6.00x0.75 inches. In Stock.
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 92,60
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 75,08
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Aggiungi al carrelloCondizione: New. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced proba.
Editore: Cambridge University Press Nov 2020, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 92,09
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware.
Editore: Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 67,15
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 510.
Da: Revaluation Books, Exeter, Regno Unito
EUR 65,19
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Aggiungi al carrelloHardcover. Condizione: Brand New. 270 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.