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Cover: 9783347543225 | Probabilistic Data Structures and Algorithms for Big Data Applications
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Probabilistic Data Structures and Algorithms for Big Data Applications
Taschenbuch von Andrii Gakhov
Sprache: Russisch

27,95 €*

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Lieferzeit 4-7 Werktage

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Beschreibung
Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers but with reliable ways to estimate possible errors. Fortunately, the potential losses and errors are fully compensated for by extremely low memory requirements, constant query time, and scaling, the factors that become essential in Big Data applications.
Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers but with reliable ways to estimate possible errors. Fortunately, the potential losses and errors are fully compensated for by extremely low memory requirements, constant query time, and scaling, the factors that become essential in Big Data applications.
Über den Autor
Andrii Gakhov is a mathematician and software engineer holding a Ph.D. in mathematical modeling and numerical methods. He has been a teacher in the School of Computer Science at V. Karazin Kharkiv National University in Ukraine for a number of years and currently works as a software practitioner for ferret go GmbH, the leading community moderation, automation, and analytics company in Germany. His fields of interests include machine learning, stream mining, and data analysis.
Zusammenfassung
- Learn how to solve practical issues of massive data handling
- Master the theoretical aspects of probabilistic data structures
- Identify the right data structures for your particular problems

The purpose of this book is to introduce technology practitioners which includes software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 228
ISBN-13: 9783347543225
ISBN-10: 334754322X
Sprache: Russisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gakhov, Andrii
Hersteller: gakhov
tredition
Maße: 220 x 155 x 16 mm
Von/Mit: Andrii Gakhov
Erscheinungsdatum: 11.08.2022
Gewicht: 0,37 kg
preigu-id: 122713622
Über den Autor
Andrii Gakhov is a mathematician and software engineer holding a Ph.D. in mathematical modeling and numerical methods. He has been a teacher in the School of Computer Science at V. Karazin Kharkiv National University in Ukraine for a number of years and currently works as a software practitioner for ferret go GmbH, the leading community moderation, automation, and analytics company in Germany. His fields of interests include machine learning, stream mining, and data analysis.
Zusammenfassung
- Learn how to solve practical issues of massive data handling
- Master the theoretical aspects of probabilistic data structures
- Identify the right data structures for your particular problems

The purpose of this book is to introduce technology practitioners which includes software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 228
ISBN-13: 9783347543225
ISBN-10: 334754322X
Sprache: Russisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gakhov, Andrii
Hersteller: gakhov
tredition
Maße: 220 x 155 x 16 mm
Von/Mit: Andrii Gakhov
Erscheinungsdatum: 11.08.2022
Gewicht: 0,37 kg
preigu-id: 122713622
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