Probabilistic Data Structures and Algorithms for Big Data Applications - Tapa blanda

Gakhov, Andrii

 
9783748190486: Probabilistic Data Structures and Algorithms for Big Data Applications
Tapa blanda
ISBN 10: 3748190484 ISBN 13: 9783748190486
Editorial: BoD - Books on Demand, 2022

Sinopsis

A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including 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.

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Acerca del 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.

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Editorial
BoD - Books on Demand
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3748190484
ISBN 13 
9783748190486
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
220
Contacto del fabricante
Books on Demand GmbH
bod@bod.de

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