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7.1 Learn what Big Data is and how it is changing the world of analytics 7.2 Understand the motivation for and business drivers of Big Data analytics 7.3 Become familiar with the wide range of enabling technologies for Big Data analytics 7.4 Learn about Hadoop, MapReduce, and NoSQL as they relate to Big Data analytics 7.5 Compare and contrast the complementary uses of data warehousing and Big Data technologies 7.6 Become familiar with select Big Data platforms and services 7.7 Understand the need for and appreciate the capabilities of stream analytics 7.8 Learn about the applications of stream analytics
文档格式:PPTX 文档大小:1.69MB 文档页数:53
8.1 Explore some of the emerging technologies that may impact analytics, business intelligence (BI), and decision support 8.2 Describe the emerging Internet of Things (IoT) phenomenon, potential applications, and the IoT ecosystem 8.3 Describe the current and future use of cloud computing in business analytics 8.4 Describe how geospatial and location-based analytics are assisting organizations 8.5 Describe the organizational impacts of analytics applications 8.6 List and describe the major ethical and legal issues of analytics implementation 8.7 Identify key characteristics of a successful data science professional
文档格式:PPTX 文档大小:1.83MB 文档页数:62
4.1 Define data mining as an enabling technology for business analytics 4.2 Understand the objectives and benefits of data mining 4.3 Become familiar with the wide range of applications of data mining 4.4 Learn the standardized data mining processes 4.5 Learn different methods and algorithms of data mining 4.6 Build awareness of the existing data mining software tools 4.7 Understand the privacy issues, pitfalls, and myths of data mining
文档格式:DOC 文档大小:484KB 文档页数:27
一、选择题 1.d2.d3.d4.b5.b6.b7.c,8.a9.c10.c,d,f11.1d,c11.2a,d,f
文档格式:DOC 文档大小:243.5KB 文档页数:34
第2章线性表 一.选择题 1.a2.b3.c4.a.d6.d7.d8.c9.b10.bc11.i11.2i11.3e
文档格式:DOC 文档大小:218.5KB 文档页数:23
第2章线性表 一、选择题 1.下述哪一条是顺序存储结构的优点?() A.存储密度大 B.插入运算方便 C.删除运算方便 D.可方便地用于各种逻辑结
文档格式:PPTX 文档大小:4.69MB 文档页数:50
• 深度学习基础 – 深度学习的发展过程 – 深度学习常用技术框架 – 常用深度学习算法 • 音频质量评价 – 音频样本及特征预处理 – 音频特征选择 – 卷积神经网络模型训练 • 模型参数调优 • 性能验证
文档格式:DOC 文档大小:164.5KB 文档页数:20
一、选择题 1.设有一个10阶的对称矩阵A,采用压缩存储方式,以行序为主存储,a11为第一元素其存储地址为1,每个元素占一个地址空间,则a5的地址为()
文档格式:DOC 文档大小:91.5KB 文档页数:6
一、单项选择题(本大题共15小题,每小题2分,共30分)在每小题列出的四个选项中只有一个是符合题目要求的,请将其代码填在题后的括号内。错选或未选均无分 1.下面程序段的时间复杂度是() for(i=-0; i
文档格式:DOC 文档大小:82KB 文档页数:12
第六章树和二叉树 第一节树的类型定义 A为“根” T1、T2和T3都是一棵树,称为A的子树。 称根和子树根之间的连线为“分支” 结点分支的个数定义为“结点的度”,如结点的度为2,D的度为3
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