利用大数据中的高维度Exploiting High Dimensionality in Big Data |
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课程网址: | http://videolectures.net/kdd2019_heckerman_big_data/ |
主讲教师: | David Heckerman |
开课单位: | 亚马逊 |
开课时间: | 2020-03-02 |
课程语种: | 英语 |
中文简介: | 有两个方面的数据使它们变大:样本大小和维度。大样本的优势早就被吹捧了。相反,高维度通常被视为成功分析的障碍。在这次演讲中,以基因组学领域为例,我将说明高维性的一些优势。 |
课程简介: | There are two aspects of data that make them big: sample size and dimensionality. The advantages of large sample size have long been touted. In contrast, high dimensionality has typically been seen as an obstacle to successful analysis. In this talk, using the area of genomics as an example, I will illustrate some of the advantages of high dimensionality. |
关 键 词: | 利用大数据; 机器学习; 高维度数据 |
课程来源: | 视频讲座网 |
数据采集: | 2022-09-16:cyh |
最后编审: | 2022-09-19:cyh |
阅读次数: | 29 |