Java shu ju ke xue shi zhan = Data science with Java /
Java数据科学实战 = Data science with Java /
Detailed summary in vernacular field.
Saved in:
| Main Author: | |
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Chinese English |
| Published: |
Beijing :
Ren min you dian chu ban she,
2020.
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| Edition: | Di 1 ban. |
| Series: | Tu ling cheng xu she ji cong shu.
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| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 240 | 1 | 0 | |a Data science with Java. |l Chinese |
| 245 | 1 | 0 | |6 880-01 |a Java shu ju ke xue shi zhan = |b Data science with Java / |c Maikeer R. Burusituoweiqi zhu ; Jiang Jianjin, Zhao Xuying, Zhang Yan yi. |
| 246 | 3 | 1 | |a Data science with Java |
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| 264 | 1 | |6 880-03 |a Beijing : |b Ren min you dian chu ban she, |c 2020. | |
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| 880 | 1 | 0 | |6 245-01/$1 |a Java数据科学实战 = |b Data science with Java / |c 迈克尔·R. 布茹斯托维奇著 ; 姜建锦, 赵绪营, 张岩 译. |
| 880 | |6 250-02/$1 |a 第1版. | ||
| 880 | 1 | |6 264-03/$1 |a 北京 : |b 人民邮电出版社, |c 2020. | |
| 880 | 1 | |6 490-04/$1 |a 图灵程序设计丛书 | |
| 880 | |6 520-05/$1 |a 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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