Essentials of Big Data Analytics: Applications in R and Python
暫譯: 大數據分析基礎:R 與 Python 的應用

Chavan, Pallavi, Pampattiwar, Kalyani, Mangrulkar, Ramchandra

  • 出版商: Morgan Kaufmann
  • 出版日期: 2026-01-09
  • 售價: $6,190
  • 貴賓價: 9.5$5,880
  • 語言: 英文
  • 頁數: 340
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0443452067
  • ISBN-13: 9780443452062
  • 相關分類: Data-miningPythonR 語言
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.

商品描述(中文翻譯)

《大數據分析要素:R 和 Python 的應用》是一本全面的指南,揭開了大數據分析的複雜世界,將理論概念與使用 Python 和 R 程式語言及 MapReduce 框架的實踐相結合。本書彌補了理論與實際應用之間的差距,提供了對於掌握大數據力量所需的關鍵原則和技術的清晰且實用的理解。《大數據分析要素》旨在為希望加深對大數據分析理解的讀者提供全面的資源,特別是在計算機科學、工程和數據科學的背景下。通過將理論概念與實際應用相結合,本書強調通過練習和教程進行實踐學習,特別是利用 R 和 Python。考慮到大數據在產業和科學研究中日益增長的角色,本書作為一個及時的資源,幫助專業人士掌握在數據驅動環境中蓬勃發展所需的技能。

最後瀏覽商品 (1)