Probabilistic Data Structures and Algorithms for Big Data Applications
暫譯: 大數據應用的機率資料結構與演算法
Gakhov, Andrii
- 出版商: Books on Demand
- 出版日期: 2022-08-05
- 售價: $1,900
- 貴賓價: 9.5 折 $1,805
- 語言: 英文
- 頁數: 220
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3748190484
- ISBN-13: 9783748190486
-
相關分類:
大數據 Big-data、Algorithms-data-structures
-
相關翻譯:
概率數據結構與算法：面向大數據應用 (簡中版)
立即出貨 (庫存=1)
買這商品的人也買了...
商品描述
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.
商品描述(中文翻譯)
一本關於流行的空間效率數據結構和快速算法的技術書籍，這些在現代大數據應用中極為有用。本書的目的是向技術從業者介紹概率數據結構和算法，包括軟體架構師和開發人員，以及技術決策者。閱讀本書後，您將對概率數據結構有理論和實踐上的理解，並了解它們的常見用途。
作者簡介
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.
作者簡介(中文翻譯)
安德里·哈科夫（Andrii Gakhov）是一位數學家和軟體工程師，擁有數學建模和數值方法的博士學位。他在烏克蘭的哈爾科夫國立大學（V. Karazin Kharkiv National University）計算機科學學院任教多年，目前在德國的 ferret go GmbH 擔任軟體實踐者，該公司是領先的社群管理、自動化和分析公司。他的研究領域包括機器學習、串流挖掘和數據分析。
