Probabilistic Data Structures and Algorithms for Big Data Applications

A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern...
CHF 80.42
CHF 80.42
SKU: 9783748190486
Product Type: Books
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Author: Andrii Gakhov
Format: Paperback
Language: English
Subtotal: CHF 80.42
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Probabilistic Data Structures and Algorithms for Big Data Applications by Gakhov, Andrii

Probabilistic Data Structures and Algorithms for Big Data Applications

CHF 80.42

Probabilistic Data Structures and Algorithms for Big Data Applications

CHF 80.42
Author: Andrii Gakhov
Format: Paperback
Language: English
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.

Author: Andrii Gakhov
Publisher: Books on Demand
Published: 08/05/2022
Pages: 220
Binding Type: Paperback
Weight: 0.65lbs
Size: 8.27h x 5.83w x 0.50d
ISBN: 9783748190486

About the Author
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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