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Spark机器学习实战
book

Spark机器学习实战

by Posts & Telecom Press, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
May 2024
Beginner to intermediate
549 pages
8h 11m
Chinese
Packt Publishing
Content preview from Spark机器学习实战

内容提要

机器学习是一门多领域交叉学科,可以通过模拟来让计算机获取新的知识或技能。Apache Spark是一种通用大数据框架,也是一种近实时弹性分布式计算和数据虚拟化技术,Spark使人们可以大规模使用机器学习技术,而无须在专用数据中心或硬件上进行大量投资。

本书提供了Apache Spark机器学习API的全面解决方案,不仅介绍了用Spark完成机器学习任务所需的基础知识,也涉及一些Spark机器学习的高级技能。全书共有13章,从环境配置讲起,陆续介绍了线性代数库、数据处理机制、构建机器学习系统的常见攻略、回归和分类、用Spark实现推荐引擎、无监督学习、梯度下降算法、决策树和集成模型、数据降维、文本分析和Spark Steaming的使用。

本书是为那些掌握了机器学习技术的Scala开发人员准备的,尤其适合缺乏Spark实践经验的读者。本书假定读者已经掌握机器学习算法的基础知识,并且具有使用Scala实现机器学习算法的一些实践经验。但不要求读者提前了解Spark ML库及其生态系统。

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Publisher Resources

ISBN: 9781836201830