January 2020
Intermediate to advanced
202 pages
5h 41m
Chinese
Overview
数据科学近年来迅速成为了热门研究领域，但很少有数据科学从业人士冒险涉足Java世界。考虑到在工程与科学的交叉地带所需的可伸缩性、稳健性以及便利性，Java其实是一门理想的语言。本书将循序渐进地引导读者进入数据科学的工作流程，在解释数学原理的同时给出代码示例。书中解释了数据科学流程每一步背后的基本数学原理，以及如何采用Java来应用这些原理。
本书内容涉及数据输入与输出、线性代数、统计学、数据操作、学习与预测，以及Hadoop MapReduce在这个过程中所扮演的关键角色。
- 讨论获取数据、清理数据，以及以纯粹方式排列数据的众多方法
- 理解数据应采用的矩阵结构
- 学习测试数据来源及数据有效性的基本概念
- 把数据转换为稳定且可用的数值
- 理解监督型学习算法与无监督型学习算法，以及评估这些算法是否成功的方法
- 采用适合数据科学算法的定制组件，设置和运行MapReduce任务
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