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大规模数据分析和建模:基于 Spark 与 R
book

大规模数据分析和建模:基于 Spark 与 R

by Javier Luraschi, Kevin Kuo, Edgar Ruiz
July 2020
Intermediate to advanced
262 pages
5h 34m
Chinese
China Machine Press

Overview

如果你和大多数R语言用户一样,那你肯定喜欢统计学,也能够深入理解统计学。但是随着组织内部不断收集大量数据,添加Apache Spark这类工具就变得理所当然。在本书中,数据科学家和使用大规模数据应用的专业人员会学到如何使用Spark和R解决大数据和大计算问题。

作者会展示如何将Spark和R结合起来进行大数据分析。本书涵盖相关的数据科学话题、聚类计算,以及高级用户会感兴趣的问题。

  • 在Apache Spark环境下,使用R来分析、探索、转换、可视化数据。
  • 构建统计模型来提取信息并预测输出,自动化生产级的工作流程。
  • 使用分布式计算技术在多台机器上进行分析和建模。
  • 轻松使用Spark处理多个数据源和格式的大规模数据。
  • 学习其他用于大规模图处理、地理空间分析和基因组学分析的建模框架。
  • 深入高级话题,包括定制转换、实时数据处理和创建定制化Spark扩展。
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Publisher Resources

ISBN: 9787111661016