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所在平台: Udemy |
课程主页: https://www.udemy.com/course/graph-analytics-to-improve-business-insights/
课程评论：没有评论
Coursera课程《图分析以改善业务洞察》旨在教授学员如何利用图分析技术，将分散的信息连接起来，从而获得更深层次的业务洞察。 课程首先介绍知识的多种载体，以及我们如何通过连接看似无关的见解来形成对事物的理解。随着人工智能的发展，计算机也需要掌握“连接点”的能力。课程以Google搜索和推荐引擎为例，展示了图分析在连接信息和驱动决策方面的强大作用。 **课程内容涵盖：** * **图分析基础：** 从简单的节点和边开始，逐步引入弹性图、分类图、本体论和时间推理等高级图概念。 * **知识图谱：** 探讨知识图谱的设计、演进、成熟度以及如何从中提取更高级别的洞察。 * **图解决方案设计：** 详细讲解构建图分析解决方案的各个组成部分，以及它们如何与数据源、用户和知识策展人进行交互。 * **推理技术：** 展示图分析在搜索、发现和推荐等方面的应用。 课程将以电影数据集为例，通过TigerGraph这款领先的图数据库工具， ilustrador 如何设计一个利用知识图谱技术来模拟人类信息处理和洞察力发展的图分析解决方案。同时，课程也会介绍图解决方案的系统组件及其与数据/知识源、用户和知识策展人的集成方式。
Most of the knowledge we possess is encoded in many ways. There are books, publications, dictionaries, standards, government regulations, company three-letter-acronyms (TLA) and so on. Also as we develop insights, we know how to connect the dots by relating seemingly disparate insights by connecting the dots. As computers get smarter, they also need to know how to connect the dots and relate to published knowledge. Today, you can use Google to connect the dots across a large number of web pages. Graph analytics drives the most successful recommendation engines. It powers media content analysis and discovery for news, movies and speeches. How do you bring this ability to your private and public information and how do you use it for a business application? A Graph can be designed at various levels of sophistication. We start from simple graphs connecting nodes using edges, and then gradually introduce elastic graphs, classifications, ontology and temporal reasoning to bring advanced graph concepts. We show how graphs can be used for a variety of reasoning techniques including search, discovery, and recommendation.The course will cover many topics associated with design of a Graph Analytics Solution:Design and analytics using structured graph Evolution of Knowledge GraphsKnowledge graph concepts and maturity levelsElastic Graph design and applicationsClassification Graph design and applicationsHigher levels of Knowledge graph insight solutionsComponents of a Graph solution and how they interact with usersUsing a dataset on movies, we have created a course material to show you how to design a Graph solution which uses many Knowledge Graph techniques to mimic how we process information and develop insights by connecting the dots. The examples have been created using TigerGraph, a leading Graph database provider. We also show the system components for a graph based solution and how it integrates with data / knowledge sources, users and knowledge curators.
