制造创意机器:基因组学、体育等领域可扩展探索性数据分析平台的模块化架构Making an Idea Machine: Modular Architecture for a Scaleable Exploratory Data Analysis Platform in Genomics, Sports and Beyond |
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课程网址: | https://videolectures.net/videos/kdd2016_paquette_idea_machine |
主讲教师: | Jesse Paquette |
开课单位: | KDD 2016研讨会 |
开课时间: | 2016-10-12 |
课程语种: | 英语 |
中文简介: | 在过去的20年里,探索性数据分析一直是基因组学研究发现的核心推动者。该领域的关键进展是将数据分析工具交到领域专家手中:非程序员和非统计学家,他们有能力在自己的领域进行假设和发现。Jesse Paquette和tag.bio已经确定了基因组学发现过程中的关键方面,并利用它们开发了一个模块化、可扩展的探索性数据分析平台,该平台可以配置用于各种数据域。 |
课程简介: | Exploratory data analysis has been a core facilitator of discovery in genomics research over the last 20 years. The critical advancement in the field has been to put data analysis tools in the hands of domain experts: non-programmers and non-statisticians that have the capacity to hypothesize and discover in their field. Jesse Paquette and tag.bio have identified key aspects from the discovery process in genomics and used them to develop a modular, scalable exploratory data analysis platform that can be configured for a wide variety of data domains. Case studies presented will focus on applications of the tag.bio platform for discovery in sports. |
关 键 词: | 制造创意机器; 数据分析; 模块化架构 |
课程来源: | 视频讲座网 |
数据采集: | 2025-01-07:liyq |
最后编审: | 2025-03-12:liyy |
阅读次数: | 10 |