Probabilistic Data Structures and Algorithms for Big Data Applications (Paperback)

Probabilistic Data Structures and Algorithms for Big Data Applications By Andrii Gakhov Cover Image

Probabilistic Data Structures and Algorithms for Big Data Applications (Paperback)

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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.
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.
Product Details ISBN: 9783748190486
ISBN-10: 3748190484
Publisher: Books on Demand
Publication Date: August 5th, 2022
Pages: 220
Language: English