Probabilistic Data Structures and Algorithms for Big Data Applications - Couverture souple

Gakhov, Andrii

 
9783748190486: Probabilistic Data Structures and Algorithms for Big Data Applications
Couverture souple
ISBN 10 : 3748190484 ISBN 13 : 9783748190486
Editeur : Books on Demand, 2022

Synopsis

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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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Books on Demand
Date d'édition
2022
Langue
anglais
ISBN 10 
3748190484
ISBN 13 
9783748190486
Reliure
Broché
Nombre de pages
220
Coordonnées du fabricant
Books on Demand GmbH
bod@bod.de

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Hamburg
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