Probabilistic Data Structures and Algorithms for Big Data Applications

Andrii Gakhov

ISBN 10: 3748190484 / ISBN 13: 9783748190486

Edité par Books on Demand, DE, 2022

A propos de cet article

N° de réf. du vendeur LU-9783748190486

Détails bibliographiques

• Titre: Probabilistic Data Structures and Algorithms for Big Data Applications
• Éditeur: Books on Demand, DE
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3748190484
• ISBN à 13 chiffres: 9783748190486
• Reliure: Paperback
• État de l'article: New

A propos de ce titre

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.

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.