Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: BoundlessBookstore, Wallingford, Reino Unido
EUR 13,48
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. Appears unread. Very good condition. Has light shelf wear.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: BoundlessBookstore, Wallingford, Reino Unido
EUR 13,53
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. Appears unread. Very good condition. Has light shelf wear.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: BoundlessBookstore, Wallingford, Reino Unido
EUR 14,24
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. Appears unread. Like new with light shelf wear.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 67,38
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 70,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 71,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 70,02
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 70,01
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 76,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 76,96
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 99,41
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 97,07
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Añadir al carritoCondición: New.
EUR 93,31
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 270 pages. 9.00x6.00x0.75 inches. In Stock.
EUR 71,36
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press Dez 2020, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 96,14
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 69,76
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 69,50
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 270 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 73,94
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Majestic Books, Hounslow, Reino Unido
EUR 98,25
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 96,98
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2020
ISBN 10: 1108477445 ISBN 13: 9781108477444
Librería: CitiRetail, Stevenage, Reino Unido
EUR 76,53
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.